John D. Hedengren

Members.JohnHedengren History

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March 22, 2024, at 12:42 AM by 10.35.117.248 -
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Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on physics-informed machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to Python GEKKO. He led the development of the Temperature Control Lab that is used by many universities for process control and data science education. His publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

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Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a focus on physics-informed machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to Python GEKKO. He led the development of the Temperature Control Lab that is used by many universities for process control and data science education. His publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

March 22, 2024, at 12:42 AM by 10.35.117.248 -
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Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on physics-informed machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to Python GEKKO. He led the development of the Arduino-based Temperature Control Lab that is used by many universities for process control and data science education. His publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

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Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on physics-informed machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to Python GEKKO. He led the development of the Temperature Control Lab that is used by many universities for process control and data science education. His publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

March 22, 2024, at 12:42 AM by 10.35.117.248 -
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Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on physics-informed machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by many universities for process control education. His publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

to:

Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on physics-informed machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to Python GEKKO. He led the development of the Arduino-based Temperature Control Lab that is used by many universities for process control and data science education. His publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

March 22, 2024, at 12:40 AM by 10.35.117.248 -
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Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 85 publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

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Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on physics-informed machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by many universities for process control education. His publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

March 21, 2024, at 11:56 PM by 10.35.117.248 -
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Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and offshore oil platforms.

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Prof. Hedengren has consulting experience with Meta, Apache, Aramco, ENI Petroleum, HESS, TOTAL, and other companies on machine learning and automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and offshore oil platforms.

March 21, 2024, at 11:54 PM by 10.35.117.248 -
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His professional service includes IEEE CSS Chair of Control Education, adjunct professor at the University of Utah, member of the AIChE CAST Committee, and Communications Chair for the American Automatic Control Council (A2C2). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.

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His professional service includes IEEE CSS Chair of Control Education, Trustee of the CACHE Corporation, adjunct professor at the University of Utah, member of the AIChE CAST Committee, and Communications Chair for the American Automatic Control Council (A2C2). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.

March 16, 2024, at 12:55 PM by 136.36.4.38 -
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  1. Chen, Y., Hill, D., Billings, B., Hedengren, J.D., Powell, K.M., Hydrogen Underground Storage for Grid Resilience: A Dynamic Simulation and Optimization Study, American Control Conference, Toronto, Canada, July 2024.
  2. Gunnell, L., Perez, K.X., Castillo, I., Hoogerwerf, A.S., Peng, Y., Hedengren, J.D., Detection of Valve Stiction in Industrial Control Loops through Continuous Wavelet Transformation with a CNN, American Control Conference, Toronto, Canada, July 2024.
January 16, 2024, at 07:25 PM by 10.35.117.248 -
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  1. Wallace, J., Hill, D., Thurston, D., Hedengren, J.D., Memmott, M., Model Predictive Control of a Grid-Scale Thermal Energy Storage System in Relap5-3d, Nuclear Engineering and Design, 2024.
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  1. Wallace, J., Hill, D., Thurston, D., Hedengren, J.D., Memmott, M., Model Predictive Control of a Grid-Scale Thermal Energy Storage System in Relap5-3d, Nuclear Engineering and Design, 2024. Article
January 10, 2024, at 06:07 PM by 10.35.117.248 -
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  1. Wallace, J., Hill, D., Thurston, D., Hedengren, J.D., Memmott, M., Model Predictive Control of a Grid-Scale Thermal Energy Storage System in Relap5-3d, Nuclear Engineering and Design, 2024.
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2024
  1. Gunnell, L., Nicholson, B., Hedengren, J.D., Equation-based and data-driven modeling: Open-source software current state and future directions, Computers & Chemical Engineering, 2024, 108521, ISSN 0098-1354, DOI: 10.1016/j.compchemeng.2023.108521. Preprint | Article
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  1. Gunnell, L., Nicholson, B., Hedengren, J.D., Equation-based and data-driven modeling: Open-source software current state and future directions, Computers & Chemical Engineering, 2023, 108521, ISSN 0098-1354, DOI: 10.1016/j.compchemeng.2023.108521. Preprint |Article
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  1. Gunnell, L., Perez, K., Hedengren, J.D., Generative AI for Process Systems Engineering: Potential Applications and Pitfalls, Emerging Technologies in Data Analytics, 2024 AIChE Spring Meeting, New Orleans, LA. Presentation
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  1. Hedengren, J.D., Park, J., Perez, K., Generative AI for Process Systems Engineering: Potential Applications and Pitfalls, Emerging Technologies in Data Analytics, 2024 AIChE Spring Meeting, New Orleans, LA. Presentation
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  1. Hedengren, J.D., Fry, A., Perez, K., Hacioglu, A., Wang, J., Loftin, J., Machine Learning for Engineering course in MATLAB and Python,

Education Division, 2023 AIChE Annual Meeting, Orlando, FL.

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  1. Hedengren, J.D., Fry, A., Perez, K., Hacioglu, A., Wang, J., Loftin, J., Machine Learning for Engineering course in MATLAB and Python, Education Division, 2023 AIChE Annual Meeting, Orlando, FL.
December 20, 2023, at 08:22 PM by 10.35.117.248 -
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  1. Hedengren, J.D., Fry, A., Perez, K., Hacioglu, A., Wang, J., Loftin, J., Machine Learning for Engineering course in MATLAB and Python,

Education Division, 2023 AIChE Annual Meeting, Orlando, FL.

  1. Hedengren, J.D., Unlock Data to Optimize Industrial Processes, Energy Geoscience Institute (EGI), Invited Talk, University of Utah, Sept 2023.
  2. Hedengren, J.D., Data-Driven Engineering Education with Hands-On Learning, Plenary Talk, Past and Future of Process/Product Analytics & Machine Learning, including Education and Workforce Development, FOPAM 2023, Foundations of Process/Product Analytics and Machine learning, University of California, Davis. Presentation
December 20, 2023, at 08:13 PM by 10.35.117.248 -
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  1. Hedengren, J.D., Learn Data-Driven Engineering with Interactive Modules, Industry 4.0 Topical Session, Analytics & AI, 2023 AIChE Spring Meeting, Houston, TX. Presentation
  2. Babaei, M.R., Park, J., Venkat, A., Hedengren, J.D., Framework for Hybrid Machine Learning with Open-Source Python Seeq Sysid Package, 2023 AIChE Spring Meeting, Houston, TX. Presentation
  3. Babaei, M.R., Mtetwa, F., Stone, R., Knotts, T.A., Hedengren, J.D., Physics-Informed Deep Learning for Prediction of Thermophysical Properties: Normal Boiling Point, 2023 AIChE Spring Meeting, Houston, TX. Presentation
  4. VanKeersblick, L., Clark, M., Hunter, I., Hedengren, J.D., Joint Angle Calculations Using Motion Capture and Deep Learning Pose Estimation for Safety Applications, Poster Session: Industry 4.0/Analytics & AI, 2023 AIChE Spring Meeting, Houston, TX. Presentation
  5. Hedengren, J.D., Physics-Informed Deep Learning for Optimization and Control, Automated Systems & Soft Computing Lab (ASSCL), College of Computer and Information Sciences (CCIS), Prince Sultan University, Feb 2023.
December 20, 2023, at 08:01 PM by 10.35.117.248 -
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2024
  1. Gunnell, L., Perez, K., Hedengren, J.D., Generative AI for Process Systems Engineering: Potential Applications and Pitfalls, Emerging Technologies in Data Analytics, 2024 AIChE Spring Meeting, New Orleans, LA. Presentation
November 28, 2023, at 09:32 PM by 10.35.117.248 -
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  1. Gunnell, L., Nicholson, B., Hedengren, J.D., Equation-based and data-driven modeling: Open-source software current state and future directions, Computers & Chemical Engineering, 2023, 108521, ISSN 0098-1354, DOI: 10.1016/j.compchemeng.2023.108521. Article
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  1. Gunnell, L., Nicholson, B., Hedengren, J.D., Equation-based and data-driven modeling: Open-source software current state and future directions, Computers & Chemical Engineering, 2023, 108521, ISSN 0098-1354, DOI: 10.1016/j.compchemeng.2023.108521. Preprint |Article
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  1. Gunnell, L., Nicholson, B., Hedengren, J.D., Equation-based and data-driven modeling: Open-source software current state and future directions, Computers & Chemical Engineering, 2023, 108521, ISSN 0098-1354,

DOI: 10.1016/j.compchemeng.2023.108521. Article

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  1. Gunnell, L., Nicholson, B., Hedengren, J.D., Equation-based and data-driven modeling: Open-source software current state and future directions, Computers & Chemical Engineering, 2023, 108521, ISSN 0098-1354, DOI: 10.1016/j.compchemeng.2023.108521. Article
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  1. Gunnell, L., Nicholson, B., Hedengren, J.D., Equation-based and data-driven modeling: Open-source software current state and future directions,

Computers & Chemical Engineering, 2023, 108521, ISSN 0098-1354,

to:
  1. Gunnell, L., Nicholson, B., Hedengren, J.D., Equation-based and data-driven modeling: Open-source software current state and future directions, Computers & Chemical Engineering, 2023, 108521, ISSN 0098-1354,
November 28, 2023, at 09:29 PM by 10.35.117.248 -
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  1. Gunnell, L., Nicholson, B., Hedengren, J.D., Equation-based and data-driven modeling: Open-source software current state and future directions,

Computers & Chemical Engineering, 2023, 108521, ISSN 0098-1354, DOI: 10.1016/j.compchemeng.2023.108521. Article

October 09, 2023, at 06:30 PM by 10.35.117.248 -
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 Google Scholar | Google Dev |  ORCID
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 Google Scholar | Google Dev | ORCID
August 31, 2023, at 03:48 PM by 50.205.85.137 -
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  • Nonlinear Model Library: One of the major bottlenecks to improved nonlinear Model Predictive Control (Nonlinear MPC) and Real-time Optimization (RTO) is the lack of reliable first-principles or hybrid models. This nonlinear model library is a collaborative platform where chemical process models can be documented and shared.
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  • Nonlinear Model Library: One of the major bottlenecks to improve nonlinear Model Predictive Control (Nonlinear MPC) and Real-time Optimization (RTO) is the lack of reliable first-principles or hybrid models. This nonlinear model library is a collaborative platform where chemical process models can be documented and shared.
August 31, 2023, at 03:47 PM by 50.205.85.137 -
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  1. Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, Volume 178, October 2023, 108396. Preprint | Article
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  1. Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, Volume 178, October 2023, 108396, DOI: 10.1016/j.compchemeng.2023.108396 Preprint | Article
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  1. Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, 2023, accepted for publication. Preprint | Article
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  1. Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, Volume 178, October 2023, 108396. Preprint | Article
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  1. Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, 2023, accepted for publication. Preprint Article
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  1. Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, 2023, accepted for publication. Preprint | Article
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  1. Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, 2023, accepted for publication. Preprint
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  1. Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, 2023, accepted for publication. Preprint Article
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  1. Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, 2023, accepted for publication.
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  1. Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, 2023, accepted for publication. Preprint
August 21, 2023, at 06:35 PM by 10.35.117.248 -
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  1. Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, 2023, accepted for publication.
August 05, 2023, at 04:12 PM by 12.176.148.124 -
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  1. Hedengren, J. D., A Nonlinear Model Library for Dynamics and Control, Computer Aids for Chemical Engineering (CACHE) News, Summer 2008. Link
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  1. Hedengren, J. D., A Nonlinear Model Library for Dynamics and Control, Computer Aids for Chemical Engineering (CACHE) News, Summer 2008. Link
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  1. Babaei, M.R., Stone, R., Knotts, T.A., Hedengren, J.D., Journal of Chemical Theory and Computation, American Chemical Society, 2023, DOI: 10.1021/acs.jctc.3c00195. Article
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  1. Babaei, M.R., Stone, R., Knotts, T.A., Hedengren, J.D., Physics-Informed Neural Networks with Group Contribution Methods, Journal of Chemical Theory and Computation, American Chemical Society, 2023, DOI: 10.1021/acs.jctc.3c00195. Article
June 29, 2023, at 02:19 AM by 136.36.4.38 -
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  1. Hill, D., McCrea, D., Ho, A., Memmott, M., Powell, K., Hedengren, J., A Multi-Scale method for combined design and dispatch optimization of nuclear hybrid energy systems including storage, e-Prime - Advances in Electrical Engineering, Electronics and Energy, Volume 5, 2023, 100201, ISSN 2772-6711, DOI: 10.1016/j.prime.2023.100201 Article (Open Access)
June 12, 2023, at 03:57 PM by 136.36.4.38 -
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  1. Babaei, M.R., Stone, R., Knotts, T.A., Hedengren, J.D.,

Journal of Chemical Theory and Computation, American Chemical Society, 2023, DOI: 10.1021/acs.jctc.3c00195. Article

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  1. Babaei, M.R., Stone, R., Knotts, T.A., Hedengren, J.D., Journal of Chemical Theory and Computation, American Chemical Society, 2023, DOI: 10.1021/acs.jctc.3c00195. Article
June 12, 2023, at 03:57 PM by 136.36.4.38 -
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  1. Babaei, M.R., Stone, R., Knotts, T.A., Hedengren, J.D.,

Journal of Chemical Theory and Computation, American Chemical Society, 2023, DOI: 10.1021/acs.jctc.3c00195. Article

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  1. Rossiter, J.A., Cassandras, C.G., Hespanha, J., Dormido, S., Torre, L., Ranade, G., Visioli, A., Hedengren, J.D., Murray, R.M., Antsaklis, P., Lamnabhi-Lagarrigue, F., Parisini, T., Control education for societal-scale challenges: A community roadmap, Annual Reviews in Control,

2023, ISSN 1367-5788, DOI: 10.1016/j.arcontrol.2023.03.007 Article (Open Access)

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  1. Rossiter, J.A., Cassandras, C.G., Hespanha, J., Dormido, S., Torre, L., Ranade, G., Visioli, A., Hedengren, J.D., Murray, R.M., Antsaklis, P., Lamnabhi-Lagarrigue, F., Parisini, T., Control education for societal-scale challenges: A community roadmap, Annual Reviews in Control, 2023, ISSN 1367-5788, DOI: 10.1016/j.arcontrol.2023.03.007 Article (Open Access)
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  1. Rossiter, J.A., Cassandras, C.G., Hespanha, J., Dormido, S., Torre, L., Ranade, G., Visioli, A., Hedengren, J.D., Murray, R.M., Antsaklis, P., Lamnabhi-Lagarrigue, F., Parisini, T., Control education for societal-scale challenges: A community roadmap, Annual Reviews in Control,

2023, ISSN 1367-5788, DOI: 10.1016/j.arcontrol.2023.03.007 Article (Open Access)

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  1. Ho, A., Memmott, M., Hedengren, J.D., Powell, K.M., Exploring the benefits of molten salt reactors: An analysis of flexibility and safety features using dynamic simulation, Digital Chemical Engineering, 2023, 100091, ISSN 2772-5081, DOI: 10.1016/j.dche.2023.100091 Article
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  1. Ho, A., Memmott, M., Hedengren, J.D., Powell, K.M., Exploring the benefits of molten salt reactors: An analysis of flexibility and safety features using dynamic simulation, Digital Chemical Engineering, Volume 7, June 2023, 100091, ISSN 2772-5081, DOI: 10.1016/j.dche.2023.100091 Article
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  1. Yao, J., Gao, T., Hedengren, J.D., Powell, K.M., A Two-Level Optimization Framework for Battery Energy Storge Systems to Enhance Economics and Minimize Long-Term Capacity Fading, Journal of Energy Storage, 2023.
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  1. Yao, J., Gao, T., Hedengren, J.D., Powell, K.M., A Two-Level Optimization Framework for Battery Energy Storge Systems to Enhance Economics and Minimize Long-Term Capacity Fading, Journal of Energy Storage, Volume 63, July 2023, 106943, 2023, DOI: 10.1016/j.est.2023.106943 Article
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  1. Hedengren, J.D., Brower, D.V., Wilson J.C., High, G., Witherow, K., Distributed Fiber Optic Strain Monitoring During Deployment Of A Deepwater Subsea Umbilical, Symposium 4 Pipelines, Risers, and Subsea Systems, ASME 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2019/95558, Glasgow, Scotland, UK, June 2019, submitted.
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  1. Ho, A., Memmott, M., Hedengren, J.D., Powell, K.M., Exploring the benefits of molten salt reactors: An analysis of flexibility and safety features using dynamic simulation,

Digital Chemical Engineering, 2023, 100091, ISSN 2772-5081, DOI: 10.1016/j.dche.2023.100091 Article

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  1. Ho, A., Memmott, M., Hedengren, J.D., Powell, K.M., Exploring the benefits of molten salt reactors: An analysis of flexibility and safety features using dynamic simulation, Digital Chemical Engineering, 2023, 100091, ISSN 2772-5081, DOI: 10.1016/j.dche.2023.100091 Article
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  1. Ho, A., Memmott, M., Hedengren, J.D., Powell, K.M.,

Exploring the benefits of molten salt reactors: An analysis of flexibility and safety features using dynamic simulation,

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  1. Ho, A., Memmott, M., Hedengren, J.D., Powell, K.M., Exploring the benefits of molten salt reactors: An analysis of flexibility and safety features using dynamic simulation,
March 07, 2023, at 01:52 PM by 136.36.4.38 -
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  1. Ho, A., Memmott, M., Hedengren, J.D., Powell, K.M.,

Exploring the benefits of molten salt reactors: An analysis of flexibility and safety features using dynamic simulation, Digital Chemical Engineering, 2023, 100091, ISSN 2772-5081, DOI: 10.1016/j.dche.2023.100091 Article

March 01, 2023, at 06:03 AM by 136.36.4.38 -
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  1. Hedengren, J.D., Brower, D.V., Kidder, K., Hillman, Z., Data-Driven TLP Tendon Loads from Internal Hull Fiber-Optic Sensors, ASME 42nd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2023/103309, Melbourne, Australia, June 2023. Preprint
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  1. Hedengren, J.D., Brower, D.V., Kidder, K., Hillman, Z., Data-Driven TLP Tendon Loads from Internal Hull Fiber-Optic Sensors, ASME 42nd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2023/103309, Melbourne, Australia, June 2023. Preprint
February 27, 2023, at 09:28 PM by 10.35.117.248 -
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  1. Yao, J., Gao, T., Hedengren, J.D., Powell, K.M., A Two-Level Optimization Framework for Battery Energy Storge Systems to Enhance Economics and Minimize Long-Term Capacity Fading, Journal of Energy Storage, 2023.
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  1. Hedengren, J.D., Nicholson, B., Open-Source Modeling Platforms, Keynote Talk at FOCAPO / CPC 2023, San Antonio, TX, 8-12 January 2023. Preprint | Presentation?
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  1. Hedengren, J.D., Nicholson, B., Open-Source Modeling Platforms, Keynote Talk at FOCAPO / CPC 2023, San Antonio, TX, 8-12 January 2023. Preprint | Presentation
January 10, 2023, at 06:13 AM by 10.35.117.248 -
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  1. Hedengren, J.D., Nicholson, B., Open-Source Modeling Platforms, Kenote address at FOCAPO / CPC 2023, San Antonio, TX, Jan 2023. Preprint | Presentation?
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  1. Hedengren, J.D., Nicholson, B., Open-Source Modeling Platforms, Keynote Talk at FOCAPO / CPC 2023, San Antonio, TX, 8-12 January 2023. Preprint | Presentation?
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  1. Hedengren, J.D., Nicholson, B., Open-Source Modeling Platforms, Kenote address at FOCAPO / CPC 2023, San Antonio, TX, Jan 2023. Preprint Δ | Presentation?
to:
  1. Hedengren, J.D., Nicholson, B., Open-Source Modeling Platforms, Kenote address at FOCAPO / CPC 2023, San Antonio, TX, Jan 2023. Preprint | Presentation?
January 10, 2023, at 06:10 AM by 10.35.117.248 -
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2023
  1. Hedengren, J.D., Nicholson, B., Open-Source Modeling Platforms, Kenote address at FOCAPO / CPC 2023, San Antonio, TX, Jan 2023. Preprint Δ | Presentation?
Added lines 54-55:
  1. Munoz, S.A., Park, J., Stewart, C.M., Martin, A.M., Hedengren, J.D., Deep Transfer Learning for Approximate Model Predictive Control, Processes 2023, 11, 197. Article (Open Access)
Changed line 55 from:
  1. Hedengren, J.D., Brower, D.V., Kidder, K., Hillman, Z., Data-Driven TLP Tendon Loads from Internal Hull Fiber-Optic Sensors, ASME 42nd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2023/103309, Melbourne, Australia, June 2023. Preprint
to:
  1. Hedengren, J.D., Brower, D.V., Kidder, K., Hillman, Z., Data-Driven TLP Tendon Loads from Internal Hull Fiber-Optic Sensors, ASME 42nd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2023/103309, Melbourne, Australia, June 2023. Preprint
Changed line 55 from:
  1. Hedengren, J.D., Brower, D.V., Kidder, K., Hillman, Z., Data-Driven TLP Tendon Loads from Internal Hull Fiber-Optic Sensors, ASME 42nd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2023/103309, Melbourne, Australia, June 2023.
to:
  1. Hedengren, J.D., Brower, D.V., Kidder, K., Hillman, Z., Data-Driven TLP Tendon Loads from Internal Hull Fiber-Optic Sensors, ASME 42nd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2023/103309, Melbourne, Australia, June 2023. Preprint
Added lines 52-55:
2023
  1. Hedengren, J.D., Brower, D.V., Kidder, K., Hillman, Z., Data-Driven TLP Tendon Loads from Internal Hull Fiber-Optic Sensors, ASME 42nd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2023/103309, Melbourne, Australia, June 2023.
Changed line 21 from:
 LinkedIn |  Facebook | Twitter
to:
 LinkedIn |  Facebook | Twitter | Stack Overflow
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LinkedIn | Facebook | Twitter

Google Scholar | Google Dev | ORCID

NSF Biographical Sketch

to:
 LinkedIn |  Facebook | Twitter
 Google Scholar | Google Dev |  ORCID
 NSF Biographical Sketch
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 📧 john.hedengren@byu.edu
 ☎️ +1 801-477-7341
to:
 📧 Email: john.hedengren@byu.edu
 📱 Tel: +1 801-477-7341
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 Professor
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 Email: john.hedengren@byu.edu
 Tel. 801-477-7341
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 📧 john.hedengren@byu.edu
 ☎️ +1 801-477-7341
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 All Publications in BibTeX Format
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 Professor
 330L Engineering Building
 Department of Chemical Engineering 
 Brigham Young University
 Provo, UT 84602 
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Google Scholar | Google Dev | ORCID 0000-0002-5535-5277

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Google Scholar | Google Dev | ORCID

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 Professor
 330L Engineering Building
 Department of Chemical Engineering 
 Brigham Young University
 Provo, UT 84602 
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 John D. Hedengren
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 ORCID 0000-0002-5535-5277
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Google Scholar | Google Dev

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Google Scholar | Google Dev | ORCID 0000-0002-5535-5277

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 LinkedIn |  Facebook | Twitter

Google Scholar | Google Dev

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 NSF Biographical Sketch
to:

LinkedIn | Facebook | Twitter Google Scholar | Google Dev NSF Biographical Sketch

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 LinkedIn |  Facebook | Twitter | Google Scholar | Google Dev
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 LinkedIn |  Facebook | Twitter

Google Scholar | Google Dev

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 LinkedIn Profile
 Facebook
 Twitter
 Google Scholar
 Google Developer
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 LinkedIn |  Facebook | Twitter | Google Scholar | Google Dev
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 Facebook
 Twitter
December 01, 2022, at 11:15 PM by 10.35.117.248 -
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  1. Wallace, J., Hill, D., Memmott, M., Hedengren, J., Modeling and Optimizing Molten Salt Thermal Storage for Nuclear Power, Transactions of the 2020 Winter ANS (American Nuclear Society) Meeting, November, 2020, Vol. 123, No. 1, pp. 144-145. Article
to:
  1. Wallace, J., Hill, D., Memmott, M., Hedengren, J., Modeling and Optimizing Molten Salt Thermal Storage for Nuclear Power, Transactions of the 2020 Winter ANS (American Nuclear Society) Meeting, November, 2020, Vol. 123, No. 1, pp. 144-145. Preprint | Article
December 01, 2022, at 09:17 PM by 10.35.117.248 -
Changed line 240 from:
  1. Wallace, J., Hill, D., Memmott, M., Hedengren, J., Modeling and Optimizing Molten Salt Thermal Storage for Nuclear Power, Transactions of the 2020 Winter ANS (American Nuclear Society) Meeting, November, 2020, Vol. 123, No. 1, pp. 144-145. Article
to:
  1. Wallace, J., Hill, D., Memmott, M., Hedengren, J., Modeling and Optimizing Molten Salt Thermal Storage for Nuclear Power, Transactions of the 2020 Winter ANS (American Nuclear Society) Meeting, November, 2020, Vol. 123, No. 1, pp. 144-145. Article
Changed lines 59-63 from:
  1. Blackburn, L.D., Tuttle, J.F., Andersson, K., Hedengren, J.D., Powell, K.M., Dynamic Machine Learning-based Optimization Algorithm to Improve Boiler Efficiency, Journal of Process Control, 2022, accepted for publication.
  2. Hill, D., Martin, A., Martin-Nelson, N., Granger, C., Memmott, M., Powell, K., Hedengren, J.D., Techno-economic sensitivity analysis for combined design and operation of a small modular reactor hybrid energy system, International Journal of Thermofluids, Volume 16, 100191, November 2022. Article (Open Access)
  3. Ho, A., Hill, D., Hedengren J.D., Powell, K.M., A nuclear-hydrogen hybrid energy system with large-scale storage: A study in optimal dispatch and economic performance in a real-world market, Journal of Energy Storage, March 2022.
to:
  1. Blackburn, L.D., Tuttle, J.F., Andersson, K., Hedengren, J.D., Powell, K.M., Dynamic Machine Learning-based Optimization Algorithm to Improve Boiler Efficiency, Journal of Process Control, Volume 120, December 2022, Pages 129-149, 2022, DOI: 10.1016/j.jprocont.2022.11.002 Article
  2. Hill, D., Martin, A., Martin-Nelson, N., Granger, C., Memmott, M., Powell, K., Hedengren, J.D., Techno-economic sensitivity analysis for combined design and operation of a small modular reactor hybrid energy system, International Journal of Thermofluids, Volume 16, 100191, November 2022, DOI: 10.1016/j.ijft.2022.100191 Article (Open Access)
  3. Ho, A., Hill, D., Hedengren J.D., Powell, K.M., A nuclear-hydrogen hybrid energy system with large-scale storage: A study in optimal dispatch and economic performance in a real-world market, Journal of Energy Storage, Volume 51, 104510, July 2022, DOI: 10.1016/j.est.2022.104510 Article
Changed line 57 from:
  1. Gunnell, L., Manwaring, K., Lu, X., Reynolds, J., Vienna, J., Hedengren, J.D., Machine Learning with Gradient-based Optimization of Nuclear Waste Vitrification with Uncertainties and Constraints, Processes, 10(11), 2365, Nov 2022, DOI: 10.3390/pr10112365. Article (Open Access)
to:
  1. Gunnell, L., Manwaring, K., Lu, X., Reynolds, J., Vienna, J., Hedengren, J.D., Machine Learning with Gradient-based Optimization of Nuclear Waste Vitrification with Uncertainties and Constraints, Processes, 10(11), 2365, Nov 2022, DOI: 10.3390/pr10112365. Article (Open Access) | Documentation
Changed line 57 from:
  1. Gunnell, L., Manwaring, K., Lu, X., Reynolds, J., Vienna, J., Hedengren, J.D., Machine Learning with Gradient-based Optimization of Nuclear Waste Vitrification with Uncertainties and Constraints, Processes, MDPI, 2022, accepted for publication.
to:
  1. Gunnell, L., Manwaring, K., Lu, X., Reynolds, J., Vienna, J., Hedengren, J.D., Machine Learning with Gradient-based Optimization of Nuclear Waste Vitrification with Uncertainties and Constraints, Processes, 10(11), 2365, Nov 2022, DOI: 10.3390/pr10112365. Article (Open Access)
Changed lines 57-58 from:
  1. Gunnell, L., Manwaring, K., Lu, X., Reynolds, J., Vienna, J., Hedengren, J.D., Machine Learning with Gradient-based Optimization of Nuclear Waste

Vitrification with Uncertainties and Constraints, Processes, MDPI, 2022, accepted for publication.

to:
  1. Gunnell, L., Manwaring, K., Lu, X., Reynolds, J., Vienna, J., Hedengren, J.D., Machine Learning with Gradient-based Optimization of Nuclear Waste Vitrification with Uncertainties and Constraints, Processes, MDPI, 2022, accepted for publication.
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 Associate Professor
to:
 Professor
Added lines 56-58:
  1. Gunnell, L., Manwaring, K., Lu, X., Reynolds, J., Vienna, J., Hedengren, J.D., Machine Learning with Gradient-based Optimization of Nuclear Waste

Vitrification with Uncertainties and Constraints, Processes, MDPI, 2022, accepted for publication.

Changed line 57 from:

Blackburn, L.D., Tuttle, J.F., Andersson, K., Hedengren, J.D., Powell, K.M., Dynamic Machine Learning-based Optimization Algorithm to Improve Boiler Efficiency, Journal of Process Control, 2022, accepted for publication.

to:
  1. Blackburn, L.D., Tuttle, J.F., Andersson, K., Hedengren, J.D., Powell, K.M., Dynamic Machine Learning-based Optimization Algorithm to Improve Boiler Efficiency, Journal of Process Control, 2022, accepted for publication.
Added lines 56-57:

Blackburn, L.D., Tuttle, J.F., Andersson, K., Hedengren, J.D., Powell, K.M., Dynamic Machine Learning-based Optimization Algorithm to Improve Boiler Efficiency, Journal of Process Control, 2022, accepted for publication.

Added lines 213-222:
  1. Knotts, T., Hedengren, J.D., Babaei, M.R., Physics-Informed Deep Learning for Prediction of Thermophysical Properties: The Parachor Method for Surface Tension, AIChE Annual Meeting, Phoenix, AZ, Nov 13-18, 2022.
  2. Yao, J., Gao, T., Hedengren, J.D., Powell, K., Two-Level Optimization Framework with Consideration of Economic Benefits and Long-Term Capacity Fading for Battery Energy Storage Systems, AIChE Annual Meeting, Phoenix, AZ, Nov 13-18, 2022.
  3. Ho, A., Mohammadi, K., Memmott, M., Hedengren, J.D., Powell, K., Dynamic Modeling and Simulation of a Novel Nuclear-Hydrogen Hybrid Energy System with Large-Scale Storage in an Underground Salt Cavern, AIChE Annual Meeting, Phoenix, AZ, Nov 13-18, 2022.
  4. Ho, A., Hill, D., Hedengren, J.D., Powell, K., An Optimal Dispatch and Economic Performance Study of a Nuclear-Hydrogen Hybrid Energy System with Large-Scale Storage in Underground Salt Cavern, AIChE Annual Meeting, Phoenix, AZ, Nov 13-18, 2022.
  5. Ho, A., Mohammadi, K., Memmott, M., Hedengren, J.D., Powell, K., Dynamic Modeling and Simulation of a Novel Nuclear-Hydrogen Hybrid Energy System with Large-Scale Storage in an Underground Salt Cavern, AIChE Annual Meeting, Phoenix, AZ, Nov 13-18, 2022.
August 24, 2022, at 04:07 PM by 10.37.180.10 -
Changed line 57 from:
  1. Hill, D., Martin, A., Martin-Nelson, N., Granger, C., Memmott, M., Powell, K., Hedengren, J.D., Techno-economic sensitivity analysis for combined design and operation of a small modular reactor hybrid energy system, International Journal of Thermofluids, Volume 16, 100191, November 2022. Article (Open Access
to:
  1. Hill, D., Martin, A., Martin-Nelson, N., Granger, C., Memmott, M., Powell, K., Hedengren, J.D., Techno-economic sensitivity analysis for combined design and operation of a small modular reactor hybrid energy system, International Journal of Thermofluids, Volume 16, 100191, November 2022. Article (Open Access)
August 24, 2022, at 04:05 PM by 10.37.180.10 -
Changed line 57 from:
  1. Hill, D., Martin, A., Martin-Nelson, N., Granger, C., Memmott, M., Powell, K., Hedengren, J.D., Techno-economic sensitivity analysis for combined design and operation of a small modular reactor hybrid energy system, International Journal of Thermofluids, 2022. Article
to:
  1. Hill, D., Martin, A., Martin-Nelson, N., Granger, C., Memmott, M., Powell, K., Hedengren, J.D., Techno-economic sensitivity analysis for combined design and operation of a small modular reactor hybrid energy system, International Journal of Thermofluids, Volume 16, 100191, November 2022. Article (Open Access
Changed line 57 from:
  1. Hill, D., Martin, A., Martin-Nelson, N., Granger, C., Memmott, M., Powell, K., Hedengren, J.D., Techno-economic sensitivity analysis for combined design and operation of a small modular reactor hybrid energy system, International Journal of Thermofluids, accepted for publication, 2022.
to:
  1. Hill, D., Martin, A., Martin-Nelson, N., Granger, C., Memmott, M., Powell, K., Hedengren, J.D., Techno-economic sensitivity analysis for combined design and operation of a small modular reactor hybrid energy system, International Journal of Thermofluids, 2022. Article
Added lines 56-57:
  1. Hill, D., Martin, A., Martin-Nelson, N., Granger, C., Memmott, M., Powell, K., Hedengren, J.D., Techno-economic sensitivity analysis for combined design and operation of a small modular reactor hybrid energy system, International Journal of Thermofluids, accepted for publication, 2022.
July 24, 2022, at 03:21 AM by 136.36.4.38 -
Added lines 211-212:
  1. Serbezov, A., Zakova, K., Visioli, A., Rossiter, J.A., Douglas, B., Hedengren, J.D., Open access resources to support the first course in feedback, dynamics and control, Advanced in Control Education (ACE2022), Hamburg, Germany, 24-27 July 2022. Preprint
July 06, 2022, at 09:58 PM by 10.35.117.248 -
Changed line 7 from:

Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

to:

Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 85 publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

July 06, 2022, at 09:57 PM by 10.35.117.248 -
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June 06, 2022, at 08:38 PM by 10.35.117.248 -
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Associate Professor, Brigham Young University

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

to:

Professor, Brigham Young University

Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

May 24, 2022, at 11:55 PM by 10.35.117.248 -
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Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control.

to:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

May 24, 2022, at 11:53 PM by 10.35.117.248 -
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His professional service includes an appointment as an adjunct professor at the University of Utah, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.

to:

His professional service includes IEEE CSS Chair of Control Education, adjunct professor at the University of Utah, member of the AIChE CAST Committee, and Communications Chair for the American Automatic Control Council (A2C2). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.

March 29, 2022, at 05:10 PM by 10.35.117.248 -
Changed line 212 from:
  1. Rossiter, J.A., Visioli, A., Serbezov, A., Hedengren, J.D., Douglas, B., Zakova, K., Open access resources to support learning of control engineering, 2022 European Control Conference (ECC), London, UK, July, 11-14, 2022.
to:
  1. Rossiter, J.A., Visioli, A., Serbezov, A., Hedengren, J.D., Douglas, B., Zakova, K., Open access resources to support learning of control engineering, 2022 European Control Conference (ECC), London, UK, July, 11-14, 2022. Article
March 25, 2022, at 06:12 PM by 10.35.117.248 -
Added lines 54-57:
2022
  1. Ho, A., Hill, D., Hedengren J.D., Powell, K.M., A nuclear-hydrogen hybrid energy system with large-scale storage: A study in optimal dispatch and economic performance in a real-world market, Journal of Energy Storage, March 2022.
January 15, 2022, at 04:55 AM by 10.35.117.248 -
Added lines 209-210:
  1. Granger, C., Martin, A., Hill, D., Wallace, J., Memmott, M., Hedengren, J.D., Optimal Dispatch with MPC Using Lab Scale Arduino Hardware, Process Modeling and Simulation IV, 2022 AIChE Spring Meeting, San Antonio, TX, April 2022.
January 15, 2022, at 04:28 AM by 10.35.117.248 -
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 ORCID 0000-0002-5535-5277
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November 24, 2021, at 08:34 PM by 10.35.117.248 -
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 Google Developer
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  1. Berrett, B.E., Vernon, C.A., Beckstrand, H., Pollei, M., Markert, K., Hedengren, J.D., Franke, K.W., Large-Scale Reality Modeling of a University Campus Using Combined UAV and Terrestrial Photogrammetry for Historical Preservation and Practice Use, submitted to MDPI Drones, Nov 17, 2021, 5(4), 136. DOI: 10.3390/drones5040136. Article
to:
  1. Berrett, B.E., Vernon, C.A., Beckstrand, H., Pollei, M., Markert, K., Hedengren, J.D., Franke, K.W., Large-Scale Reality Modeling of a University Campus Using Combined UAV and Terrestrial Photogrammetry for Historical Preservation and Practice Use, Drones, Special Issue on Geoinformatics for the Preservation and Valorization of Cultural Heritage, Nov 17, 2021, 5(4), 136. DOI: 10.3390/drones5040136. Article
Changed line 55 from:
  1. Berrett, B.E., Vernon, C.A., Beckstrand, H., Pollei, M., Markert, K., Hedengren, J.D., Franke, K.W., Large-Scale Reality Modeling of a University Campus Using Combined UAV and Terrestrial Photogrammetry for Historical Preservation and Practice Use, submitted to MDPI Drones, Oct 1, 2021, under review.
to:
  1. Berrett, B.E., Vernon, C.A., Beckstrand, H., Pollei, M., Markert, K., Hedengren, J.D., Franke, K.W., Large-Scale Reality Modeling of a University Campus Using Combined UAV and Terrestrial Photogrammetry for Historical Preservation and Practice Use, submitted to MDPI Drones, Nov 17, 2021, 5(4), 136. DOI: 10.3390/drones5040136. Article
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  1. Berrett, B.E., Vernon, C.A., Beckstrand, H., Pollei, M., Markert, K., Hedengren, J.D., Franke, K.W., Large-Scale Reality Modeling of a University Campus Using Combined UAV and Terrestrial Photogrammetry for Historical Preservation and Practice Use, submitted to MDPI Drones, Oct 1, 2021, under review.
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2022
  1. Rossiter, J.A., Visioli, A., Serbezov, A., Hedengren, J.D., Douglas, B., Zakova, K., Open access resources to support learning of control engineering, 2022 European Control Conference (ECC), London, UK, July, 11-14, 2022.
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  1. Ho, A., Mohammadi, K., Hedengren J.D., Memmott, M., Powell, K.M., Dynamic simulation of a novel nuclear hybrid energy system with large-scale hydrogen storage in an underground salt cavern, International Journal of Hydrogen Energy, 29 July 2021. Article
to:
  1. Ho, A., Mohammadi, K., Hedengren J.D., Memmott, M., Powell, K.M., Dynamic simulation of a novel nuclear hybrid energy system with large-scale hydrogen storage in an underground salt cavern, International Journal of Hydrogen Energy, 29 July 2021. Article
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  1. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, Journal of Geotechnical and Geoenvironmental Engineering, Volume 143, Issue 5, May 2017, doi:10.1061/(ASCE)GT.1943-5606.0001647. Article
to:
  1. Franke, K.W., Rollins, K.M., Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, Journal of Geotechnical and Geoenvironmental Engineering, Volume 143, Issue 5, May 2017, doi:10.1061/(ASCE)GT.1943-5606.0001647. Article
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  1. Gates, N.S., Hill, D.C., Billings, B.W., Powell, K.M., Hedengren, J.D., Benchmarks for Grid Energy Management with Python Gekko, 60th Conference on Decision and Control (CDC), Austin, TX, USA, December 13-15, 2020. Preprint | Benchmarks
to:
  1. Gates, N.S., Hill, D.C., Billings, B.W., Powell, K.M., Hedengren, J.D., Benchmarks for Grid Energy Management with Python Gekko, 60th Conference on Decision and Control (CDC), Austin, TX, USA, December 13-15, 2021. Preprint | Benchmarks
Changed line 204 from:

Gates, N.S., Hill, D.C., Billings, B.W., Powell, K.M., Hedengren, J.D., Benchmarks for Grid Energy Management with Python Gekko, 60th Conference on Decision and Control (CDC), Austin, TX, USA, December 13-15, 2020. Preprint | Benchmarks

to:
  1. Gates, N.S., Hill, D.C., Billings, B.W., Powell, K.M., Hedengren, J.D., Benchmarks for Grid Energy Management with Python Gekko, 60th Conference on Decision and Control (CDC), Austin, TX, USA, December 13-15, 2020. Preprint | Benchmarks
Added lines 201-204:
2021

Gates, N.S., Hill, D.C., Billings, B.W., Powell, K.M., Hedengren, J.D., Benchmarks for Grid Energy Management with Python Gekko, 60th Conference on Decision and Control (CDC), Austin, TX, USA, December 13-15, 2020. Preprint | Benchmarks

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Changed line 55 from:
  1. Ho, A., Mohammadi, K., Hedengren J.D., Memmott, M., Powell, K.M., Dynamic simulation of a novel nuclear hybrid energy system with large-scale hydrogen storage in an underground salt cavern, International Journal of Hydrogen Energy, accepted for publication.
to:
  1. Ho, A., Mohammadi, K., Hedengren J.D., Memmott, M., Powell, K.M., Dynamic simulation of a novel nuclear hybrid energy system with large-scale hydrogen storage in an underground salt cavern, International Journal of Hydrogen Energy, 29 July 2021. Article
July 06, 2021, at 01:41 AM by 145.34.0.194 -
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  1. Ho, A., Mohammadi, K., Hedengren J.D., Memmott, M., Powell, K.M., Dynamic simulation of a novel nuclear hybrid energy system with large-scale hydrogen storage in an underground salt cavern,

International Journal of Hydrogen Energy, accepted for publication.

to:
  1. Ho, A., Mohammadi, K., Hedengren J.D., Memmott, M., Powell, K.M., Dynamic simulation of a novel nuclear hybrid energy system with large-scale hydrogen storage in an underground salt cavern, International Journal of Hydrogen Energy, accepted for publication.
July 06, 2021, at 01:40 AM by 145.34.0.194 -
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2021
  1. Ho, A., Mohammadi, K., Hedengren J.D., Memmott, M., Powell, K.M., Dynamic simulation of a novel nuclear hybrid energy system with large-scale hydrogen storage in an underground salt cavern,

International Journal of Hydrogen Energy, accepted for publication.

May 31, 2021, at 11:31 PM by 10.35.117.248 -
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  1. Moura Oliveira, P.B.; Hedengren, J.D.; Pires, Swarm-Based design of Proportional Integral and Derivative Controllers using a Compromise Cost Function: An Arduino Temperature Laboratory Case Study, Special Issue: Algorithms for PID Controller, Algorithms, 13(12), 315, DOI: 10.3390/a13120315, 2020. Article
to:
  1. Moura Oliveira, P.B., Hedengren, J.D., Pires, E.J.S., Swarm-Based design of Proportional Integral and Derivative Controllers using a Compromise Cost Function: An Arduino Temperature Laboratory Case Study, Special Issue: Algorithms for PID Controller, Algorithms, 13(12), 315, DOI: 10.3390/a13120315, 2020. Article
May 31, 2021, at 11:16 PM by 10.35.117.248 -
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  1. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, Journal of Geotechnical and Geoenvironmental Engineering, Volume 143, Issue 5, May 2017, doi:10.1061/(ASCE)GT.1943-5606.0001647. Article
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  1. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, Journal of Geotechnical and Geoenvironmental Engineering, 2016, doi:10.1061/(ASCE)GT.1943-5606.0001647. Article
May 23, 2021, at 12:15 AM by 10.35.117.248 -
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 NSF Biographical Sketch
May 21, 2021, at 04:19 PM by 10.35.117.248 -
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April 30, 2021, at 11:32 PM by 10.35.117.248 -
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Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control.
to:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control.

April 20, 2021, at 06:11 PM by 10.35.117.248 -
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  1. Moura Oliveira, P., Hedengren, J., Rossiter, J.A., Introducing Digital Controllers to Undergraduate Students Using the TCLab Arduino Kit, 21st IFAC World Congress, Berlin, Germany, July 12-17, 2020.
to:
  1. Moura Oliveira, P., Hedengren, J., Rossiter, J.A., Introducing Digital Controllers to Undergraduate Students Using the TCLab Arduino Kit, 21st IFAC World Congress, Berlin, Germany, Volume 53, Issue 2, July 12-17, 2020, pp. 17524-17529. Article
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Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control.
to:
Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control.
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Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control.
to:
Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control.
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Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers.
to:
Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control.
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His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.

to:

His professional service includes an appointment as an adjunct professor at the University of Utah, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.

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Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers.
to:
Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers.
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Attach:john_hedengren2021.jpg ΔDr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers.
to:
Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers.
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Attach:john_hedengren2021.jpg ΔDr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers.
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Attach:john_hedengren2021.jpg ΔDr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers.
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Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.

to:
Attach:john_hedengren2021.jpg ΔDr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers.

His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.

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Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Section EiC for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.

to:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.

January 24, 2021, at 01:08 AM by 10.35.117.248 -
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  1. Wallace, J., Hill, D., Memmott, M., Hedengren, J., Modeling and Optimizing Molten Salt Thermal Storage for Nuclear Power, Transactions of the 2020 Winter ANS (American Nuclear Society) Meeting, November, 2020, Vol. 123, No. 1, pp. 144-145. Article
January 15, 2021, at 01:45 AM by 10.35.117.248 -
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Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and offshore oil platforms.

to:

Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and offshore oil platforms.

January 15, 2021, at 01:19 AM by 10.37.146.139 -
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  1. Hedengren, J.D., Teaching Dynamics and Control with Arduino-based TCLab, Invited Presentation at MathWorks Special Session, 59th Conference on Decision and Control, Jeju Island, Republic of Korea, December 14-18, 2020. Presentation
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  1. # de Moura Oliveira, P.B.; Hedengren, J.D.; Pires, Swarm-Based design of Proportional Integral and Derivative Controllers using a Compromise Cost Function: An Arduino Temperature Laboratory Case Study, Special Issue: Algorithms for PID Controller, Algorithms, 13(12), 315, DOI: 10.3390/a13120315, 2020. Article
to:
  1. Moura Oliveira, P.B.; Hedengren, J.D.; Pires, Swarm-Based design of Proportional Integral and Derivative Controllers using a Compromise Cost Function: An Arduino Temperature Laboratory Case Study, Special Issue: Algorithms for PID Controller, Algorithms, 13(12), 315, DOI: 10.3390/a13120315, 2020. Article
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  1. Moura Oliveira, P., Hedengren, J.D., Solteiro Pires, E.J., Swarm-Based design of Proportional Integral and Derivative Controllers using a Compromise Cost Function: An Arduino Temperature Laboratory Case Study, Special Issue: Algorithms for PID Controller, Algorithms, 2020.
to:
  1. # de Moura Oliveira, P.B.; Hedengren, J.D.; Pires, Swarm-Based design of Proportional Integral and Derivative Controllers using a Compromise Cost Function: An Arduino Temperature Laboratory Case Study, Special Issue: Algorithms for PID Controller, Algorithms, 13(12), 315, DOI: 10.3390/a13120315, 2020. Article
November 27, 2020, at 02:08 PM by 136.36.211.159 -
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  1. Moura Oliveira, P., Hedengren, J.D., Solteiro Pires, E.J., Swarm-Based design of PID Controllers using an Aggregated Cost Function: A TCLab Arduino Case Study, Special Issue: Algorithms for PID Controller, Algorithms, 2020.
to:
  1. Moura Oliveira, P., Hedengren, J.D., Solteiro Pires, E.J., Swarm-Based design of Proportional Integral and Derivative Controllers using a Compromise Cost Function: An Arduino Temperature Laboratory Case Study, Special Issue: Algorithms for PID Controller, Algorithms, 2020.
November 27, 2020, at 02:43 AM by 136.36.211.159 -
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  1. Moura Oliveira, P., Hedengren, J.D., Solteiro Pires, E.J., Swarm-Based design of PID Controllers using an Aggregated Cost Function: A TCLab Arduino Case Study, Special Issue: Algorithms for PID Controller, Algorithms, 2020.
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Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 40 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Section EiC for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". In 2020, he is on sabbatical to develop combined physics-based and machine learned methods for optimization and automation.

to:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 70 universities for process control education. His 60 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Section EiC for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.

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  1. Park, J., Price, C., Pixton, D., Aghito, M., Nybø, R., Bjørkevoll, K., Hedengren, J.D., Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model, ISA Transactions, 2020. Preprint | Article
to:
  1. Park, J., Price, C., Pixton, D., Aghito, M., Nybø, R., Bjørkevoll, K., Hedengren, J.D., Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model, ISA Transactions, 105, pp. 256-268, Oct 2020, doi: 10.1016/j.isatra.2020.05.035. Preprint | Article
September 22, 2020, at 03:48 PM by 136.36.211.159 -
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  1. Moura Oliveira, P., Hedengren, J., Boaventura, J., Bridging Theory to Practice: Feedforward and Cascade Control with TCLab Arduino Kit, 14th International Conference on Automatic Control and Soft Computing, Bragança, Portugal, July 2020.
to:
  1. Moura Oliveira, P., Hedengren, J., Boaventura, J., Bridging Theory to Practice: Feedforward and Cascade Control with TCLab Arduino Kit, 14th International Conference on Automatic Control and Soft Computing (CONTROLO), Bragança, Portugal, July 2020. Proceedings
September 17, 2020, at 01:03 AM by 136.36.211.159 -
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  1. Hedengren, J.D., Kantor, J., Computer Programming and Process Control Take-Home Lab, Computer Aids for Chemical Engineering (CACHE) News, Summer 2020. Article
July 20, 2020, at 09:51 AM by 66.205.50.5 -
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  1. Arce, S., Vernon, C.A., Hammond, J., Newell, V., Janson, J., Franke, K.W., Hedengren, J.D. Automated 3D Reconstruction Using Optimized View-Planning Algorithms for Iterative Development of Structure-from-Motion Models, Remote Sensing, 2020, 12, 2169. Article
July 20, 2020, at 09:49 AM by 66.205.50.5 -
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  1. Hammond, J.E., Vernon, C.A., Okeson, T.J., Barrett, B.J., Arce, S., Newell, V., Janson, J., Franke, K.W., Hedengren, J.D. Survey of 8 UAV Set-Covering Algorithms for Terrain Photogrammetry, Remote Sensing, 2020, 12, 2285. Article
May 27, 2020, at 02:17 PM by 136.36.211.159 -
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  1. Park, J., Price, C., Pixton, D., Aghito, M., Nybø, R., Bjørkevoll, K., Hedengren, J.D., Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model, ISA Transactions, 2020. Article
to:
  1. Park, J., Price, C., Pixton, D., Aghito, M., Nybø, R., Bjørkevoll, K., Hedengren, J.D., Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model, ISA Transactions, 2020. Preprint | Article
May 27, 2020, at 02:09 PM by 136.36.211.159 -
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  1. Park, J., Price, C., Pixton, D., Aghito, M., Nybø, R., Bjørkevoll, K., Hedengren, J.D., Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model,

ISA Transactions, 2020. Article

to:
  1. Park, J., Price, C., Pixton, D., Aghito, M., Nybø, R., Bjørkevoll, K., Hedengren, J.D., Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model, ISA Transactions, 2020. Article
May 27, 2020, at 02:09 PM by 136.36.211.159 -
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  1. Park, J., Price, C., Pixton, D., Aghito, M., Nybø, R., Bjørkevoll, K., Hedengren, J.D., Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model,

ISA Transactions, 2020. Article

April 27, 2020, at 05:37 PM by 136.36.211.159 -
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  1. Moura Oliveira, P., Hedengren, J., Boaventura, J., Bridging Theory to Practice: Feedforward and Cascade Control with TCLab Arduino Kit, 14th International Conference on Automatic Control and Soft Computing, Bragança, Portugal, July 2020.
April 07, 2020, at 05:07 PM by 136.36.211.159 -
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  1. Moura Oliveira, P., Hedengren, J., Rossiter, J.A., Introducing Digital Controllers to Undergraduate Students Using the TCLab Arduino Kit, 21st IFAC World Congress, Berlin, Germany, July 12-17, 2020.
March 02, 2020, at 08:49 PM by 136.36.211.159 -
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February 18, 2020, at 02:08 PM by 136.36.211.159 -
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  1. Park, J., Martin, R.A., Kelly, J.D., Hedengren, J.D., Benchmark Temperature Microcontroller for Process Dynamics and Control, Computers & Chemical Engineering, Special Issue in Honor of Tom Edgar's 75th birthday, 2020, Accepted for Publication. Preprint | Article
to:
  1. Park, J., Martin, R.A., Kelly, J.D., Hedengren, J.D., Benchmark Temperature Microcontroller for Process Dynamics and Control, Computers & Chemical Engineering, Special Issue in Honor of Thomas F. Edgar, 135, 6 April 2020, doi: 10.1016/j.compchemeng.2020.106736. Preprint | Article
January 16, 2020, at 07:01 AM by 108.105.131.186 -
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  1. Park, J., Martin, R.A., Kelly, J.D., Hedengren, J.D., Benchmark Temperature Microcontroller for Process Dynamics and Control, Computers & Chemical Engineering, Special Issue in Honor of Tom Edgar's 75th birthday, 2020, Accepted for Publication. Preprint
to:
  1. Park, J., Martin, R.A., Kelly, J.D., Hedengren, J.D., Benchmark Temperature Microcontroller for Process Dynamics and Control, Computers & Chemical Engineering, Special Issue in Honor of Tom Edgar's 75th birthday, 2020, Accepted for Publication. Preprint | Article
January 13, 2020, at 07:27 PM by 147.46.252.163 -
Added lines 49-52:
2020
  1. Park, J., Martin, R.A., Kelly, J.D., Hedengren, J.D., Benchmark Temperature Microcontroller for Process Dynamics and Control, Computers & Chemical Engineering, Special Issue in Honor of Tom Edgar's 75th birthday, 2020, Accepted for Publication. Preprint
January 11, 2020, at 07:20 AM by 147.46.252.162 -
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January 11, 2020, at 07:19 AM by 147.46.252.162 -
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January 11, 2020, at 07:12 AM by 147.46.252.162 -
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Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 40 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Section EiC for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models".

to:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 40 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Section EiC for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". In 2020, he is on sabbatical to develop combined physics-based and machine learned methods for optimization and automation.

January 11, 2020, at 07:11 AM by 147.46.252.162 -
Changed line 22 from:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 40 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Section EiC for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He currently serves as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models".

to:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 40 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Section EiC for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models".

December 29, 2019, at 01:27 PM by 136.36.211.159 -
Changed line 199 from:
  1. Tubbs, B., Hedengren, J.D., Data-Driven Operations Management and Production Optimization, Operations: Case Studies and Best Practices, Canadian Institute Of Mining Metallurgy And Petroleum Conference Convention, CIM Convention, Montréal, CA, 2019.
to:
  1. Tubbs, B., Hedengren, J.D., Data-Driven Operations Management and Production Optimization, Operations: Case Studies and Best Practices, Canadian Institute Of Mining Metallurgy And Petroleum Conference Convention, CIM Convention, Montreal, Canada, 2019.
December 05, 2019, at 02:05 PM by 173.127.68.102 -
Added line 52:
  1. Simmons, C., Arment, J., Powell, K.M., Hedengren, J.D., Proactive Energy Optimization in Residential Buildings with Weather and Market Forecasts, Processes, MDPI, 7 (12), 929, doi: 10.3390/pr7120929, 2019. Abstract | Article (Open Access)
Added lines 181-184:
2020
  1. Park, J., Lyman, J., Darby, M., Lima, L., Nelson, C., and Hedengren, J.D., Hybrid Machine Learning and Fundamental Modeling for Real-Time Optimization of a Fluidized Bed Roaster, 2020 Spring Meeting & 16th Global Congress on Process Safety, AIChE, Houston, TX, 29 March-2 April, 2020. Abstract
Changed line 186 from:
  1. Oliveira, P.M., Hedengren, J.D., An APMonitor Temperature Lab PID Control Experiment for Undergraduate Students, 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), Sep 10th - 13th, 2019, pp. 790-797, Zaragoza, Spain. Preprint Paper
to:
  1. Oliveira, P.M., Hedengren, J.D., An APMonitor Temperature Lab PID Control Experiment for Undergraduate Students, 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), Sep 10th - 13th, 2019, pp. 790-797, Zaragoza, Spain. Preprint | Paper
Changed line 186 from:
  1. Oliveira, P.M., Hedengren, J.D., An APMonitor Temperature Lab PID Control Experiment for Undergraduate Students, 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), Sep 10th - 13th, 2019, pp. 790-797, Zaragoza, Spain. Preprint
to:
  1. Oliveira, P.M., Hedengren, J.D., An APMonitor Temperature Lab PID Control Experiment for Undergraduate Students, 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), Sep 10th - 13th, 2019, pp. 790-797, Zaragoza, Spain. Preprint Paper
September 22, 2019, at 01:01 PM by 174.148.93.186 -
Changed lines 186-187 from:
  1. Oliveira, P.M., Hedengren, J.D., An APMonitor Temperature Lab PID Control Experiment for Undergraduate Students, 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), Sep 10th - 13th, 2019, Zaragoza, Spain. Preprint
to:
  1. Oliveira, P.M., Hedengren, J.D., An APMonitor Temperature Lab PID Control Experiment for Undergraduate Students, 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), Sep 10th - 13th, 2019, pp. 790-797, Zaragoza, Spain. Preprint
Changed line 190 from:
  1. Rossiter, J.A., Jones, B.L., Pope, S., Hedengren, J.D., Evaluation and Demonstration of Take Home Laboratory Kit, Invited Session: Demonstration and poster session, 12th IFAC Symposium on Advances in Control Education, July 7-9, 2019, Philadelphia, PA, USA. Preprint
to:
  1. Rossiter, J.A., Jones, B.L., Pope, S., Hedengren, J.D., Evaluation and Demonstration of Take Home Laboratory Kit, Invited Session: Demonstration and poster session, 12th IFAC Symposium on Advances in Control Education, July 7-9, 2019, 52 (9), pp. 56-61, Philadelphia, PA, USA. Preprint
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to:
August 21, 2019, at 01:47 PM by 174.148.206.32 -
Added lines 185-186:
  1. Oliveira, P.M., Hedengren, J.D., An APMonitor Temperature Lab PID Control Experiment for Undergraduate Students, 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), Sep 10th - 13th, 2019, Zaragoza, Spain. Preprint
July 29, 2019, at 02:09 PM by 108.56.160.222 -
Changed line 52 from:
  1. Freeman, M., Vernon, C., Berrett, B., Hastings, N., Derricott, J., Pace, J., Horne, B., Hammond, J., Janson, J., Chiabrando, F., Hedengren, J.D., Franke, K., Sequential Earthquake Damage Assessment Incorporating Optimized sUAV Remote Sensing at Pescara del Tronto, Special Issue: Remote Sensing Applications for Earthquake and Tsunami Damage Assessment, Geosciences, 2019.
to:
  1. Freeman, M., Vernon, C., Berrett, B., Hastings, N., Derricott, J., Pace, J., Horne, B., Hammond, J., Janson, J., Chiabrando, F., Hedengren, J.D., Franke, K., Sequential Earthquake Damage Assessment Incorporating Optimized sUAV Remote Sensing at Pescara del Tronto, Special Issue: Remote Sensing Applications for Earthquake and Tsunami Damage Assessment, Geosciences, 2019. Article (Open Access)
July 23, 2019, at 10:08 PM by 10.37.64.124 -
Changed lines 52-54 from:
  1. Freeman, M., Vernon, C., Berrett, B., Hastings, N.,

Derricott, J., Pace, J., Horne, B., Hammond, J., Janson, J., Chiabrando, F., Hedengren, J.D., Franke, K., Sequential Earthquake Damage Assessment Incorporating Optimized sUAV Remote Sensing at Pescara del Tronto, Special Issue: Remote Sensing Applications for Earthquake and Tsunami Damage Assessment, Geosciences, 2019.

to:
  1. Freeman, M., Vernon, C., Berrett, B., Hastings, N., Derricott, J., Pace, J., Horne, B., Hammond, J., Janson, J., Chiabrando, F., Hedengren, J.D., Franke, K., Sequential Earthquake Damage Assessment Incorporating Optimized sUAV Remote Sensing at Pescara del Tronto, Special Issue: Remote Sensing Applications for Earthquake and Tsunami Damage Assessment, Geosciences, 2019.
July 23, 2019, at 10:07 PM by 10.37.64.124 -
July 23, 2019, at 10:07 PM by 10.37.64.124 -
Added lines 52-54:
  1. Freeman, M., Vernon, C., Berrett, B., Hastings, N.,

Derricott, J., Pace, J., Horne, B., Hammond, J., Janson, J., Chiabrando, F., Hedengren, J.D., Franke, K., Sequential Earthquake Damage Assessment Incorporating Optimized sUAV Remote Sensing at Pescara del Tronto, Special Issue: Remote Sensing Applications for Earthquake and Tsunami Damage Assessment, Geosciences, 2019.

July 09, 2019, at 10:43 PM by 10.37.66.59 -
Changed line 187 from:
  1. Rossiter, J.A., Jones, B.L., Pope, S., Hedengren, J.D., Evaluation and Demonstration of Take Home Laboratory Kit, Invited Session: Demonstration and poster session, 12th IFAC Symposium on Advances in Control Education, July 7-9, 2019, Philadelphia, PA, USA.
to:
  1. Rossiter, J.A., Jones, B.L., Pope, S., Hedengren, J.D., Evaluation and Demonstration of Take Home Laboratory Kit, Invited Session: Demonstration and poster session, 12th IFAC Symposium on Advances in Control Education, July 7-9, 2019, Philadelphia, PA, USA. Preprint
June 18, 2019, at 03:55 PM by 10.37.89.19 -
Changed lines 371-372 from:
  1. Derricott, J.C., Willis, J.B., Peterson, C.K., Franke, K.W., Hedengren, J.D., Disaster Reconnaissance Using Multiple Small Unmanned Aerial Vehicles, Mechanical Engineering Magazine, 141, 16, 2019.

Article

to:
  1. Derricott, J.C., Willis, J.B., Peterson, C.K., Franke, K.W., Hedengren, J.D., Disaster Reconnaissance Using Multiple Small Unmanned Aerial Vehicles, Mechanical Engineering Magazine, 141, 16, doi: 10.1115/1.2019-JUN5, 2019. Article
June 18, 2019, at 03:53 PM by 10.37.89.19 -
Added lines 370-372:
  1. Parkinson, A., Balling, R., Hedengren, J.D., Optimization Methods for Engineering Design, Brigham Young University, Edition 1 (2013), Edition 2 (2018). Book
  2. Derricott, J.C., Willis, J.B., Peterson, C.K., Franke, K.W., Hedengren, J.D., Disaster Reconnaissance Using Multiple Small Unmanned Aerial Vehicles, Mechanical Engineering Magazine, 141, 16, 2019.

Article

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Deleted line 374:
June 17, 2019, at 04:22 PM by 136.36.211.159 -
Added line 52:
  1. Okeson, T.J., Barrett, B.J., Arce, S., Vernon, C.A., Franke, K.W, Hedengren, J.D., Achieving Tiered Model Quality in 3D Structure from Motion Models Using a Multi-Scale View-Planning Algorithm for Automated Targeted Inspection, Sensors, MDPI, 19 (12), 2703, doi: 10.3390/s19122703, 2019. Article (Open Access)
May 22, 2019, at 01:22 PM by 45.56.3.173 -
Changed line 186 from:
  1. Rossiter, J.A., Jones, B.L., Pope, S., Hedengren, J.D., Evaluation and demonstration of take home laboratory kit, 12th IFAC Symposium on Advances in Control Education (ACE 2019), July 7-9, 2019, Philadelphia, PA.
to:
  1. Rossiter, J.A., Jones, B.L., Pope, S., Hedengren, J.D., Evaluation and Demonstration of Take Home Laboratory Kit, Invited Session: Demonstration and poster session, 12th IFAC Symposium on Advances in Control Education, July 7-9, 2019, Philadelphia, PA, USA.
April 12, 2019, at 01:51 AM by 45.56.3.173 -
Added lines 181-182:
  1. Hedengren, J.D., Martin, R.A., Kantor, J.C., Reuel, N., Temperature Control Lab for Dynamics and Control, AIChE Annual Meeting, Orlando, FL, Nov 2019. Abstract
March 22, 2019, at 01:08 PM by 174.148.30.244 -
Changed line 182 from:
  1. Pastusek, P., Payette, G., Shor, R., Cayeux, E., Aarsnes, U.J., Hedengren, J.D., Menand, S., Macpherson, J., Gandikota, R., Behounek, M., Harmer, R., Detournay, E., Illerhaus, R., Liu, Y., Creating Open Source Models, Test Cases, and Data for Oilfield Drilling Challenges, SPE/IADC Drilling Conference, The Hague, Netherlands, March 2019, SPE-194082-MS.
to:
  1. Pastusek, P., Payette, G., Shor, R., Cayeux, E., Aarsnes, U.J., Hedengren, J.D., Menand, S., Macpherson, J., Gandikota, R., Behounek, M., Harmer, R., Detournay, E., Illerhaus, R., Liu, Y., Creating Open Source Models, Test Cases, and Data for Oilfield Drilling Challenges, SPE/IADC Drilling Conference, The Hague, Netherlands, March 2019, SPE-194082-MS. Article
March 22, 2019, at 01:03 PM by 174.148.30.244 -
Added lines 181-182:
  1. Pastusek, P., Payette, G., Shor, R., Cayeux, E., Aarsnes, U.J., Hedengren, J.D., Menand, S., Macpherson, J., Gandikota, R., Behounek, M., Harmer, R., Detournay, E., Illerhaus, R., Liu, Y., Creating Open Source Models, Test Cases, and Data for Oilfield Drilling Challenges, SPE/IADC Drilling Conference, The Hague, Netherlands, March 2019, SPE-194082-MS.
March 19, 2019, at 01:28 PM by 10.37.9.255 -
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to:
March 04, 2019, at 02:12 PM by 45.56.3.173 -
Changed line 22 from:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 24 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Section EiC for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He currently serves as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models".

to:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 40 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Section EiC for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He currently serves as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models".

Added lines 179-180:
  1. Rossiter, J.A., Jones, B.L., Pope, S., Hedengren, J.D., Evaluation and demonstration of take home laboratory kit, 12th IFAC Symposium on Advances in Control Education (ACE 2019), July 7-9, 2019, Philadelphia, PA.
February 11, 2019, at 11:07 AM by 174.148.103.158 -
Added lines 44-47:
Deleted line 51:
  1. Hedengren, J.D., Brower, D.V., Wilson J.C., High, G., Witherow, K., Distributed Fiber Optic Strain Monitoring During Deployment Of A Deepwater Subsea Umbilical, Symposium 4 Pipelines, Risers, and Subsea Systems, ASME 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2019/95558, Glasgow, Scotland, UK, June 2019, submitted.
January 28, 2019, at 02:10 PM by 174.148.229.170 -
Changed line 177 from:
  1. Gates, N.S., Moore, K.R., Ning, A., Hedengren, J.D., Combined Trajectory, Propulsion and Battery Mass Optimization for Solar-Regenerative High-Altitude Long Endurance Unmanned Aircraft, AIAA Science and Technology Forum (SciTech), 2019.
to:
  1. Gates, N.S., Moore, K.R., Ning, A., Hedengren, J.D., Combined Trajectory, Propulsion and Battery Mass Optimization for Solar-Regenerative High-Altitude Long Endurance Unmanned Aircraft, AIAA Science and Technology Forum (SciTech), 2019. Preprint
January 11, 2019, at 10:39 PM by 10.37.152.219 -
Added lines 176-177:
  1. Gates, N.S., Moore, K.R., Ning, A., Hedengren, J.D., Combined Trajectory, Propulsion and Battery Mass Optimization for Solar-Regenerative High-Altitude Long Endurance Unmanned Aircraft, AIAA Science and Technology Forum (SciTech), 2019.
Changed line 47 from:
  1. Blackburn, L., Young, A., Rogers, P., Hedengren, J.D., Powell, K.M., Dynamic Optimization of a District Energy System with Storage Using a Novel Mixed-Integer Quadratic Programming Algorithm, Optimization and Engineering, 2019, submitted.
to:
  1. Blackburn, L., Young, A., Rogers, P., Hedengren, J.D., Powell, K.M., Dynamic Optimization of a District Energy System with Storage Using a Novel Mixed-Integer Quadratic Programming Algorithm, Optimization and Engineering, 2019. Article
Deleted line 47:
  1. Brower, D.V., Hedengren, J.D., Seaman, C., Wilson, J.C., A Post-Installable Fiber-Optic Sensor System for Leak Detection using Acoustic and Vibration Monitoring, ASME 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2019/95558, Glasgow, Scotland, UK, June 2019, submitted.
December 21, 2018, at 02:17 AM by 10.37.170.242 -
Added lines 47-49:
  1. Blackburn, L., Young, A., Rogers, P., Hedengren, J.D., Powell, K.M., Dynamic Optimization of a District Energy System with Storage Using a Novel Mixed-Integer Quadratic Programming Algorithm, Optimization and Engineering, 2019, submitted.
  2. Brower, D.V., Hedengren, J.D., Seaman, C., Wilson, J.C., A Post-Installable Fiber-Optic Sensor System for Leak Detection using Acoustic and Vibration Monitoring, ASME 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2019/95558, Glasgow, Scotland, UK, June 2019, submitted.
  3. Hedengren, J.D., Brower, D.V., Wilson J.C., High, G., Witherow, K., Distributed Fiber Optic Strain Monitoring During Deployment Of A Deepwater Subsea Umbilical, Symposium 4 Pipelines, Risers, and Subsea Systems, ASME 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2019/95558, Glasgow, Scotland, UK, June 2019, submitted.
Added lines 174-175:
  1. Tubbs, B., Hedengren, J.D., Data-Driven Operations Management and Production Optimization, Operations: Case Studies and Best Practices, Canadian Institute Of Mining Metallurgy And Petroleum Conference Convention, CIM Convention, Montréal, CA, 2019.
Changed line 50 from:
  1. Martin, R.A., Gates, N., Ning, A., Hedengren, J.D., Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints, Journal of Guidance, Control, and Dynamics, 2018, accepted. Preprint | Article | Source Code
to:
  1. Martin, R.A., Gates, N., Ning, A., Hedengren, J.D., Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints, Journal of Guidance, Control, and Dynamics, 2018, doi: 10.2514/1.G003737. Preprint | Article | Source Code
Changed line 50 from:
  1. Martin, R.A., Gates, N., Ning, A., Hedengren, J.D., Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints, Journal of Guidance, Control, and Dynamics, 2018, accepted. Preprint | Article |Source Code
to:
  1. Martin, R.A., Gates, N., Ning, A., Hedengren, J.D., Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints, Journal of Guidance, Control, and Dynamics, 2018, accepted. Preprint | Article | Source Code
Changed line 50 from:
  1. Martin, R.A., Gates, N., Ning, A., Hedengren, J.D., Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints, Journal of Guidance, Control, and Dynamics, 2018, accepted. Preprint | Source Code
to:
  1. Martin, R.A., Gates, N., Ning, A., Hedengren, J.D., Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints, Journal of Guidance, Control, and Dynamics, 2018, accepted. Preprint | Article |Source Code
Changed line 22 from:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 24 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Associate Editor for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He currently serves as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models".

to:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 24 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Section EiC for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He currently serves as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models".

Changed line 46 from:
  1. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 121, pp. 263-284, 2018. Preprint | Article | Source Code
to:
  1. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 121, pp. 263-284, 2019. Preprint | Article | Source Code
Added lines 44-47:
2019
  1. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 121, pp. 263-284, 2018. Preprint | Article | Source Code
Deleted line 50:
  1. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 2018. Preprint | Article | Source Code
Added lines 169-174:
2019
  1. Park, J., Hansen, B., Gates, N., Darby, M., Hedengren, J.D., Use of Nonlinear and Machine Learning Techniques for Improved APC Modeling, AIChE Spring Meeting, New Orleans, LA, April 2019. Abstract
  2. Park, J., Patterson, C., Kelly, J., Hedengren, J.D., Closed-Loop PID Re-Tuning in a Digital Twin By Re-Playing Past Setpoint and Load Disturbance Data, AIChE Spring Meeting, New Orleans, LA, April 2019. Abstract
Changed line 30 from:
  • APMonitor and GEKKO Optimization Suite: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award and the 2018 AIChE Computing Practice Award.
to:
  • APMonitor and GEKKO Optimization Suite: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award and the 2018 AIChE Computing Practice Award.
Changed line 30 from:
  • APMonitor Software: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award and the 2018 AIChE Computing Practice Award.
to:
  • APMonitor and GEKKO Optimization Suite: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award and the 2018 AIChE Computing Practice Award.
Changed lines 30-36 from:
  • APMonitor Software: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award.
  • Applications in Process Systems Engineering
    • Drilling Automation
    • Energy System Optimization
    • Model Predictive Control
    • Unmanned Aerial Systems
to:
  • APMonitor Software: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award and the 2018 AIChE Computing Practice Award.
  • Drilling Automation
  • Energy System Optimization
  • Model Predictive Control
  • Unmanned Aerial Systems
  • Machine Learning
Changed line 17 from:
 350E Clyde Building
to:
 330L Engineering Building
Changed line 22 from:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured reinforcement learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 24 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Associate Editor for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He currently serves as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models".

to:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 24 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Associate Editor for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He currently serves as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models".

Changed line 47 from:
  1. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 2018. Preprint Article
to:
  1. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 2018. Preprint | Article | Source Code
Changed line 47 from:
  1. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 2018, accepted. Preprint
to:
  1. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 2018. Preprint Article
Changed line 47 from:
  1. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 2018, accepted.
to:
  1. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 2018, accepted. Preprint
Changed lines 22-24 from:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured reinforcement learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 24 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. He is a 2018-19 distinguished lecturer for the Society of Petroleum Engineers and serves as an associate editor for the Processes Journal, the IEEE Control Systems Society, and AIChE webinars. In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems.

to:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured reinforcement learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 24 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. His professional service includes an appointment as an adjunct professor at the University of Utah, Associate Editor for the Processes Journal, and member of the AIChE CAST Executive Committee (Webinar Editor). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He currently serves as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models".

Changed line 44 from:
  1. Martin, R.A., Gates, N., Ning, A., Hedengren, J.D., Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints, Journal of Guidance, Control, and Dynamics, 2018, accepted. Preprint
to:
  1. Martin, R.A., Gates, N., Ning, A., Hedengren, J.D., Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints, Journal of Guidance, Control, and Dynamics, 2018, accepted. Preprint | Source Code
Changed line 170 from:
  1. Martin, R.A., Heiner, B., Hedengren, J.D., Targeted 3D Modeling from UAV Imagery, SPIE Defense + Security Symposium, Geospatial Informatics, and Motion Imagery Analytics VIII, 15 - 19 April 2018, Orlando, Florida.
to:
  1. Martin, R.A., Heiner, B., Hedengren, J.D., Targeted 3D Modeling from UAV Imagery, Proc. SPIE 10645, Geospatial Informatics, Motion Imagery, and Network Analytics VIII, 106450D (27 April 2018); doi: 10.1117/12.2304436 Article
Changed lines 45-46 from:
  1. Hansen, B., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 2018, accepted.
  2. Beal, L.D.R., Hill, D., Martin, R.A., and Hedengren, J. D., GEKKO Optimization Suite, Processes, Volume 6, Number 8, 2018, doi: 10.3390/pr6080106. Article
to:
  1. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 2018, accepted.
  2. Beal, L.D.R., Hill, D., Martin, R.A., and Hedengren, J.D., GEKKO Optimization Suite, Processes, Volume 6, Number 8, 2018, doi: 10.3390/pr6080106. Article
Changed line 44 from:
  1. Martin, R.A., Gates, N., Ning, A., Hedengren, J.D., Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints, Journal of Guidance, Control, and Dynamics, 2018, accepted.
to:
  1. Martin, R.A., Gates, N., Ning, A., Hedengren, J.D., Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints, Journal of Guidance, Control, and Dynamics, 2018, accepted. Preprint
Added line 44:
  1. Martin, R.A., Gates, N., Ning, A., Hedengren, J.D., Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints, Journal of Guidance, Control, and Dynamics, 2018, accepted.
Changed lines 183-185 from:
  1. Beal, L., Clark, J., Anderson, M., Warnick, S., Hedengren, J.D., Combined Scheduling and Control with Diurnal Constraints and Costs using a Discrete Time Formulation, FOCAPO / CPC 2017, Tuscon, AZ, Jan 2017.
  2. Udy, J., Blackburn, L., Hedengren, J.D., Darby, M., Reduced Order Modeling for Reservoir Injection Optimization and Forecasting, FOCAPO / CPC 2017, Tuscon, AZ, Jan 2017. Preprint
to:
  1. Beal, L., Clark, J., Anderson, M., Warnick, S., Hedengren, J.D., Combined Scheduling and Control with Diurnal Constraints and Costs using a Discrete Time Formulation, FOCAPO / CPC 2017, Tucson, AZ, Jan 2017.
  2. Udy, J., Blackburn, L., Hedengren, J.D., Darby, M., Reduced Order Modeling for Reservoir Injection Optimization and Forecasting, FOCAPO / CPC 2017, Tucson, AZ, Jan 2017. Preprint
Changed line 47 from:
  1. Beal, L.D., Petersen, D., Grimsman, D., Warnick, S., Hedengren, J.D., Integrated Scheduling and Control in Discrete-time with Dynamic Parameters and Constraints, Computers & Chemical Engineering, 115, pp. 361-376, 2018. Article, Free Access Until July 2018
to:
  1. Beal, L.D., Petersen, D., Grimsman, D., Warnick, S., Hedengren, J.D., Integrated Scheduling and Control in Discrete-time with Dynamic Parameters and Constraints, Computers & Chemical Engineering, 115, pp. 361-376, 2018. Article
Added line 44:
  1. Hansen, B., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 2018, accepted.
Changed lines 46-47 from:
  1. Safdarnejad, S.M., Hedengren, J.D., Powell, K.M., Performance Comparison of Low Temperature and Chemical Absorption Carbon Capture Processes in Response to Dynamic Electricity Demand and Price Profiles, Applied Energy, accepted, 2018.
to:
  1. Safdarnejad, S.M., Hedengren, J.D., Powell, K.M., Performance Comparison of Low Temperature and Chemical Absorption Carbon Capture Processes in Response to Dynamic Electricity Demand and Price Profiles, Applied Energy, Volume 228, pp. 577-592, 2018, doi:10.1016/j.apenergy.2018.06.098. Article
Added lines 43-44:
  1. Beal, L.D.R., Hill, D., Martin, R.A., and Hedengren, J. D., GEKKO Optimization Suite, Processes, Volume 6, Number 8, 2018, doi: 10.3390/pr6080106. Article
July 09, 2018, at 09:01 PM by 10.37.11.148 -
Deleted line 167:
  1. Blackburn, L., Hedengren, J.D., Powell, K., Real-time Optimization of Chillers with Thermal Energy Storage and Variable Electricity Rates, INFORMS Annual Meeting, Phoenix, AZ, Oct 2018.
July 09, 2018, at 09:00 PM by 10.37.11.148 -
July 09, 2018, at 08:59 PM by 10.37.11.148 -
Added lines 169-170:
  1. Blackburn, L., Hedengren, J.D., Powell, K.M., Real-time Optimization of Chillers with Thermal Energy Storage and Variable Electricity Rates, Smart City & Sustainable Communities, INFORMS 2018 Annual Meeting, Phoenix, AZ, USA, Nov. 4-7, 2018.
June 21, 2018, at 06:23 PM by 195.235.113.218 -
Added line 44:
  1. Safdarnejad, S.M., Hedengren, J.D., Powell, K.M., Performance Comparison of Low Temperature and Chemical Absorption Carbon Capture Processes in Response to Dynamic Electricity Demand and Price Profiles, Applied Energy, accepted, 2018.
June 11, 2018, at 05:46 PM by 10.5.113.123 -
Changed lines 22-24 from:

John Hedengren is Associate Professor at Brigham Young University in the Chemical Engineering Department, leading the PRISM (Process Research and Intelligent System Modeling) group. Prof. Hedengren teaches courses on computational methods, process dynamics and control, optimization, dynamic optimization, and fundamentals of chemical engineering. He is a chemical engineer by training with a B.S. and M.S. degree from Brigham Young University, and a Ph.D. from the University of Texas at Austin.

Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and offshore oil platforms. He is a Distinguished Lecturer with the Society of Petroleum Engineers (SPE) starting in 2018.

to:

Dr. John Hedengren is an Associate Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured reinforcement learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab that is currently used by 24 universities for process control education. His 47 publications span topics of oil production, drilling automation, smart grid optimization, unmanned aerial systems, and nonlinear predictive control. He is a 2018-19 distinguished lecturer for the Society of Petroleum Engineers and serves as an associate editor for the Processes Journal, the IEEE Control Systems Society, and AIChE webinars. In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems.

Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and offshore oil platforms.

May 21, 2018, at 03:48 PM by 45.56.3.173 -
Changed line 46 from:
  1. Brower, D.V., Seaman, C., Bentley, N.L., Tang, H.H., Kipp, R.M., Wilson, J.C., Le, S.Q., Hedengren, J.D., Full-Scale Testing of a Friction-Based, Post-Installable, Fiber-Optic Strain Sensor for Subsea Monitoring Systems, Topic: 4-6 Innovative Technologies for Deepwater Low-Cost Production, Symposium 4 Pipelines, Risers, and Subsea Systems, ASME 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2018/77117, Madrid, Spain, June 2018.
to:
  1. Brower, D.V., Bentley, N.L., Hedengren, J.D., Kipp, R.M., Le, S.Q., Seaman, C., Tang, H.H., Wilson, J.C., Full-Scale Testing of a Friction-Based, Post-Installable, Fiber-Optic Strain Sensor for Subsea Monitoring Systems, Topic: 4-6 Innovative Technologies for Deepwater Low-Cost Production, Symposium 4 Pipelines, Risers, and Subsea Systems, ASME 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2018/77117, Madrid, Spain, June 2018.
May 14, 2018, at 10:42 PM by 10.5.113.114 -
Added line 167:
  1. Blackburn, L., Hedengren, J.D., Powell, K., Real-time Optimization of Chillers with Thermal Energy Storage and Variable Electricity Rates, INFORMS Annual Meeting, Phoenix, AZ, Oct 2018.
May 10, 2018, at 06:30 PM by 10.5.113.114 -
Changed line 44 from:
  1. Beal, L.D., Petersen, D., Grimsman, D., Warnick, S., Hedengren, J.D., Integrated Scheduling and Control in Discrete-time with Dynamic Parameters and Constraints, Computers & Chemical Engineering, 2018. Article, Free Access Until July 2018
to:
  1. Beal, L.D., Petersen, D., Grimsman, D., Warnick, S., Hedengren, J.D., Integrated Scheduling and Control in Discrete-time with Dynamic Parameters and Constraints, Computers & Chemical Engineering, 115, pp. 361-376, 2018. Article, Free Access Until July 2018
May 10, 2018, at 06:28 PM by 10.5.113.114 -
Changed line 44 from:
  1. Beal, L.D., Petersen, D., Grimsman, D., Warnick, S., Hedengren, J.D., Integrated Scheduling and Control in Discrete-time with Dynamic Parameters and Constraints, Computers & Chemical Engineering, 2018. Article
to:
  1. Beal, L.D., Petersen, D., Grimsman, D., Warnick, S., Hedengren, J.D., Integrated Scheduling and Control in Discrete-time with Dynamic Parameters and Constraints, Computers & Chemical Engineering, 2018. Article, Free Access Until July 2018
April 18, 2018, at 06:31 PM by 10.5.113.167 -
Changed line 44 from:
  1. Beal, L.D., Petersen, D., Grimsman, D., Warnick, S., Hedengren, J.D., Integrated Scheduling and Control in Discrete-time with Dynamic Parameters and Constraints, Computers & Chemical Engineering, Accepted for publication, 2018.
to:
  1. Beal, L.D., Petersen, D., Grimsman, D., Warnick, S., Hedengren, J.D., Integrated Scheduling and Control in Discrete-time with Dynamic Parameters and Constraints, Computers & Chemical Engineering, 2018. Article
April 11, 2018, at 02:48 PM by 10.5.113.167 -
Added line 44:
  1. Beal, L.D., Petersen, D., Grimsman, D., Warnick, S., Hedengren, J.D., Integrated Scheduling and Control in Discrete-time with Dynamic Parameters and Constraints, Computers & Chemical Engineering, Accepted for publication, 2018.
March 15, 2018, at 08:32 PM by 10.37.136.42 -
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to:
March 13, 2018, at 12:58 PM by 10.5.113.167 -
Changed line 45 from:
  1. Seaman, C., Brower, D.V., Hedengren, J.D., et al., Full-Scale Testing of a Friction-Based, Post-Installable, Fiber-Optic Strain Sensor for Subsea Monitoring Systems, Topic: 4-6 Innovative Technologies for Deepwater Low-Cost Production, Symposium 4 Pipelines, Risers, and Subsea Systems, ASME 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2018/77117, Madrid, Spain, June 2018.
to:
  1. Brower, D.V., Seaman, C., Bentley, N.L., Tang, H.H., Kipp, R.M., Wilson, J.C., Le, S.Q., Hedengren, J.D., Full-Scale Testing of a Friction-Based, Post-Installable, Fiber-Optic Strain Sensor for Subsea Monitoring Systems, Topic: 4-6 Innovative Technologies for Deepwater Low-Cost Production, Symposium 4 Pipelines, Risers, and Subsea Systems, ASME 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2018/77117, Madrid, Spain, June 2018.
March 13, 2018, at 12:16 PM by 10.5.113.167 -
Changed line 24 from:

Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and offshore oil platforms. He is a Distinguished Lecturer with the Society of Petroleum Engineers (SPE) starting starting in 2018.

to:

Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and offshore oil platforms. He is a Distinguished Lecturer with the Society of Petroleum Engineers (SPE) starting in 2018.

March 13, 2018, at 12:03 PM by 10.5.113.167 -
Changed lines 45-46 from:
  1. Hedengren, J.D., Brower, D.V., Wilson J.C., High, G., Witherow, K., New Flow Assurance System With High Speed Subsea Fiber Optic Monitoring Of Pressure And Temperature, ASME 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2018/78079, Madrid, Spain, June 2018. Preprint
to:
  1. Seaman, C., Brower, D.V., Hedengren, J.D., et al., Full-Scale Testing of a Friction-Based, Post-Installable, Fiber-Optic Strain Sensor for Subsea Monitoring Systems, Topic: 4-6 Innovative Technologies for Deepwater Low-Cost Production, Symposium 4 Pipelines, Risers, and Subsea Systems, ASME 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2018/77117, Madrid, Spain, June 2018.
  2. Hedengren, J.D., Brower, D.V., Wilson J.C., High, G., Witherow, K., New Flow Assurance System With High Speed Subsea Fiber Optic Monitoring Of Pressure And Temperature, Symposium 4 Pipelines, Risers, and Subsea Systems, ASME 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2018/78079, Madrid, Spain, June 2018. Preprint
March 07, 2018, at 02:36 PM by 45.56.3.173 -
Changed line 44 from:
  1. Hedengren, J.D., Beal, L., Special Issue: Combined Scheduling and Control, Processes, 6(3), 24, doi: 10.3390/pr6030024, 2018. Editorial and Special Issue (7 articles)
to:
  1. Hedengren, J.D., Beal, L., Special Issue: Combined Scheduling and Control, Processes, 6(3), 24, doi: 10.3390/pr6030024, 2018. Editorial and Special Issue
March 07, 2018, at 02:24 PM by 45.56.3.173 -
Changed line 24 from:

Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and offshore oil platforms.

to:

Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and offshore oil platforms. He is a Distinguished Lecturer with the Society of Petroleum Engineers (SPE) starting starting in 2018.

March 07, 2018, at 02:23 PM by 45.56.3.173 -
Changed line 44 from:
  1. Hedengren, J.D., Beal, L., Special Issue: Combined Scheduling and Control, Processes, 6(3), 24, doi: 10.3390/pr6030024, 2018. Article and Special Issue (7 articles)
to:
  1. Hedengren, J.D., Beal, L., Special Issue: Combined Scheduling and Control, Processes, 6(3), 24, doi: 10.3390/pr6030024, 2018. Editorial and Special Issue (7 articles)
March 07, 2018, at 02:22 PM by 45.56.3.173 -
Changed line 44 from:
  1. Hedengren, J.D., Beal, L., Special Issue: Combined Scheduling and Control, Processes, 6(3), 24, doi: 10.3390/pr6030024, 2018. Article
to:
  1. Hedengren, J.D., Beal, L., Special Issue: Combined Scheduling and Control, Processes, 6(3), 24, doi: 10.3390/pr6030024, 2018. Article and Special Issue (7 articles)
March 07, 2018, at 02:20 PM by 45.56.3.173 -
Added line 44:
  1. Hedengren, J.D., Beal, L., Special Issue: Combined Scheduling and Control, Processes, 6(3), 24, doi: 10.3390/pr6030024, 2018. Article
Added lines 41-44:
2018
  1. Hedengren, J.D., Brower, D.V., Wilson J.C., High, G., Witherow, K., New Flow Assurance System With High Speed Subsea Fiber Optic Monitoring Of Pressure And Temperature, ASME 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2018/78079, Madrid, Spain, June 2018. Preprint
Changed line 67 from:
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Dynamic Optimization of a Hybrid System of Energy-Storing Cryogenic Carbon Capture and a Baseline Power Generation Unit Applied Energy, Applied Energy Journal, 172 (15), 66–79, June 2016, doi:10.1016/j.apenergy.2016.03.074. Article
to:
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Dynamic Optimization of a Hybrid System of Energy-Storing Cryogenic Carbon Capture and a Baseline Power Generation Unit, Applied Energy, 172 (15), 66–79, June 2016, doi:10.1016/j.apenergy.2016.03.074. Article
December 16, 2017, at 02:22 AM by 216.129.167.248 -
Changed line 159 from:

Martin, R.A., Heiner, B., Hedengren, J.D., Targeted 3D Modeling from UAV Imagery, SPIE Defense + Security Symposium, Geospatial Informatics, and Motion Imagery Analytics VIII, 15 - 19 April 2018, Orlando, Florida.

to:
  1. Martin, R.A., Heiner, B., Hedengren, J.D., Targeted 3D Modeling from UAV Imagery, SPIE Defense + Security Symposium, Geospatial Informatics, and Motion Imagery Analytics VIII, 15 - 19 April 2018, Orlando, Florida.
December 16, 2017, at 02:21 AM by 216.129.167.248 -
Changed lines 44-45 from:
  1. Beal, L.D., Petersen D., Pila G., Davis, B., Warnick, S., and Hedengren, J.D., Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes, Processes, 2017, accepted for publication.
  2. Petersen, D., Beal, L.D., Prestwich D., Warnick, S., and Hedengren, J. D., Combined Noncyclic Scheduling and Advanced Control for Continuous Chemical Processes, Processes, 2017, accepted for publication.
to:
  1. Beal, L.D., Petersen D., Pila G., Davis, B., Warnick, S., and Hedengren, J.D., Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes, Processes, 5(4), 84, doi:10.3390/pr5040084, 2017. Article (Open Access)
  2. Petersen, D., Beal, L.D., Prestwich D., Warnick, S., and Hedengren, J. D., Combined Noncyclic Scheduling and Advanced Control for Continuous Chemical Processes, Processes, 2017, Processes, 5(4), 83, doi:10.3390/pr5040083, 2017. Article (Open Access)
Added lines 156-159:
2018

Martin, R.A., Heiner, B., Hedengren, J.D., Targeted 3D Modeling from UAV Imagery, SPIE Defense + Security Symposium, Geospatial Informatics, and Motion Imagery Analytics VIII, 15 - 19 April 2018, Orlando, Florida.

December 13, 2017, at 07:26 PM by 216.129.167.248 -
Changed lines 91-92 from:
  1. Eaton, A., Safdarnejad, S.M., Hedengren, J.D., Moffat, K., Hubbell, C., Brower, D.V., Brower, A.D., Post-Installed Fiber Optic Pressure Sensors on Subsea Production Risers for Severe Slugging Control, ASME 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/42196, St. John's, Newfoundland, Canada, June 2015. Preprint
to:
  1. Eaton, A., Safdarnejad, S.M., Hedengren, J.D., Moffat, K., Hubbell, C., Brower, D.V., Brower, A.D., Post-Installed Fiber Optic Pressure Sensors on Subsea Production Risers for Severe Slugging Control, ASME 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2015-42196, St. John's, Newfoundland, Canada, June 2015. Preprint
Changed lines 101-102 from:
  1. Asgharzadeh Shishavan, R., Brower, D.V., Hedengren, J.D., Brower, A.D., New Advances in Post-Installed Subsea Monitoring Systems for Structural and Flow Assurance Evaluation, ASME 33rd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/24300, San Francisco, CA, June 2014. Presentation and Preprint
to:
  1. Asgharzadeh Shishavan, R., Brower, D.V., Hedengren, J.D., Brower, A.D., New Advances in Post-Installed Subsea Monitoring Systems for Structural and Flow Assurance Evaluation, ASME 33rd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014-24300, San Francisco, CA, June 2014. Presentation and Preprint
Changed line 113 from:
  1. Brower, D., Hedengren, J.D., Asgharzadeh Shishavan, R., and Brower, A., Advanced Deepwater Monitoring System, ASME 32st International Conference on Ocean, Offshore and Arctic Engineering, OMAE2013/10920, Nantes, France, June 2013, ISBN: 978-0-7918-5531-7. Preprint, Presentation
to:
  1. Brower, D., Hedengren, J.D., Asgharzadeh Shishavan, R., and Brower, A., Advanced Deepwater Monitoring System, ASME 32st International Conference on Ocean, Offshore and Arctic Engineering, OMAE2013-10920, Nantes, France, June 2013, ISBN: 978-0-7918-5531-7. Preprint, Presentation
Changed line 55 from:
  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, Vol 118, 1 January 2017, pp. 97–115. Article
to:
  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, Vol 118, 1, pp. 97–115, January 2017, DOI: 10.1016/j.energy.2016.12.009. Article
Added lines 44-45:
  1. Beal, L.D., Petersen D., Pila G., Davis, B., Warnick, S., and Hedengren, J.D., Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes, Processes, 2017, accepted for publication.
  2. Petersen, D., Beal, L.D., Prestwich D., Warnick, S., and Hedengren, J. D., Combined Noncyclic Scheduling and Advanced Control for Continuous Chemical Processes, Processes, 2017, accepted for publication.
Deleted line 46:
Changed line 48 from:
  1. Martin, R.A., Blackburn, L., Pulsipher, J., Franke, K., Hedengren, J.D., Potential Benefits of Combining Anomaly Detection with View Planning for UAV Infrastructure Modeling, 9(5), 434, 2017, doi:10.3390/rs9050434. Article (Open Access)
to:
  1. Martin, R.A., Blackburn, L., Pulsipher, J., Franke, K., Hedengren, J.D., Potential Benefits of Combining Anomaly Detection with View Planning for UAV Infrastructure Modeling, Remote Sensing, 9(5), 434, 2017, doi:10.3390/rs9050434. Article (Open Access)
Changed line 7 from:
to:
Changed line 158 from:
  1. Safdarnejad, S.M., Strahl, W., Hedengren, J.D., Baxter, L.L., Comparison in Dynamic Response of Energy-Storing Cryogenic and Chemical Absorption Carbon Capture Systems to Electricity Demand, AIChE Annual Meeting, Minneapolis, MN, Nov 2017. Presentation [[https://aiche.confex.com/aiche/2017/meetingapp.cgi/Paper/494085|Abstract]
to:
  1. Safdarnejad, S.M., Strahl, W., Hedengren, J.D., Baxter, L.L., Comparison in Dynamic Response of Energy-Storing Cryogenic and Chemical Absorption Carbon Capture Systems to Electricity Demand, AIChE Annual Meeting, Minneapolis, MN, Nov 2017. Presentation Abstract
Added lines 157-158:
  1. Safdarnejad, S.M., Strahl, W., Hedengren, J.D., Baxter, L.L., Comparison in Dynamic Response of Energy-Storing Cryogenic and Chemical Absorption Carbon Capture Systems to Electricity Demand, AIChE Annual Meeting, Minneapolis, MN, Nov 2017. Presentation [[https://aiche.confex.com/aiche/2017/meetingapp.cgi/Paper/494085|Abstract]
August 14, 2017, at 06:29 PM by 10.5.113.229 -
Deleted lines 41-44:
Pending
  1. Taysom, S., Hedengren, J.D., Sorensen, C., A Comparison of Model Predictive Control and PID Temperature Control in Friction Stir Welding, Journal of Manufacturing Processes, 2017, accepted.
Added lines 43-44:
  1. Taysom, S., Hedengren, J.D., Sorensen, C., A Comparison of Model Predictive Control and PID Temperature Control in Friction Stir Welding, Journal of Manufacturing Processes, 29, pp. 232-241, 2017, doi: 10.1016/j.jmapro.2017.07.015. Article
Changed line 160 from:
  1. Incorporating Dynamic Simulation into Chemical Engineering Curricula, Hedengren, J.D., Badgwell, T.A., Grover, M., ASEE Summer School for New Chemical Engineering Faculty, Raleigh, North Carolina, July 2017. Abstract
to:
  1. Incorporating Dynamic Simulation into Chemical Engineering Curricula, Hedengren, J.D., Badgwell, T.A., Grover, M., Braatz, R., ASEE Summer School for New Chemical Engineering Faculty, Raleigh, North Carolina, July 2017. Abstract
Added lines 159-160:
  1. Incorporating Dynamic Simulation into Chemical Engineering Curricula, Hedengren, J.D., Badgwell, T.A., Grover, M., ASEE Summer School for New Chemical Engineering Faculty, Raleigh, North Carolina, July 2017. Abstract
July 20, 2017, at 01:27 AM by 144.5.226.51 -
Changed line 44 from:
  1. Taysom, S., Hedengren, J.D., Sorensen, C., A Comparison of Model Predictive Control and PID Temperature Control in Friction Stir Welding, 2017, submitted.
to:
  1. Taysom, S., Hedengren, J.D., Sorensen, C., A Comparison of Model Predictive Control and PID Temperature Control in Friction Stir Welding, Journal of Manufacturing Processes, 2017, accepted.
July 13, 2017, at 12:33 PM by 45.56.3.173 -
Changed line 52 from:
  • Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling with Dominant Time Constant Compensation, Computers & Chemical Engineering, 104, pp. 271-282, 2017, doi: 10.1016/j.compchemeng.2017.04.024 Article
to:
  1. Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling with Dominant Time Constant Compensation, Computers & Chemical Engineering, 104, pp. 271-282, 2017, doi: 10.1016/j.compchemeng.2017.04.024 Article
July 13, 2017, at 12:32 PM by 45.56.3.173 -
Changed line 52 from:
  1. Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling with Dominant Time Constant Compensation, 2017, doi: 10.1016/j.compchemeng.2017.04.024. Preprint | Article (Free Access until July 17)
to:
  • Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling with Dominant Time Constant Compensation, Computers & Chemical Engineering, 104, pp. 271-282, 2017, doi: 10.1016/j.compchemeng.2017.04.024 Article
July 11, 2017, at 05:13 PM by 10.5.113.192 -
Changed line 340 from:
  • Assistant Professor, Brigham Young University, Provo, UT (Aug 2011-Current)
to:
  • Assistant Professor (2011-16) / Associate Professor (2016-present), Brigham Young University, Provo, UT
June 28, 2017, at 12:13 AM by 71.83.242.189 -
Deleted lines 43-44:
  1. Udy, J., Hansen, B., Maddux, S., Peterson, D., Heilner, S., Stevens, K., Lignell, D., Hedengren, J.D., Review of Field Development Optimization of Waterflooding, EOR, and Well Placement Focusing on History Matching and Optimization Algorithms, Processes, in review, 2017.
Added lines 47-48:
  1. Udy, J., Hansen, B., Maddux, S., Peterson, D., Heilner, S., Stevens, K., Lignell, D., Hedengren, J.D., Review of Field Development Optimization of Waterflooding, EOR, and Well Placement Focusing on History Matching and Optimization Algorithms, Processes, 5(3), 34, 2017, doi:10.3390/pr5030034. Article (Open Access)
June 20, 2017, at 07:32 PM by 173.117.128.86 -
Changed line 56 from:
  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, Vol 118, 1 January 2017, pp. 97–115. Article
to:
  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, Vol 118, 1 January 2017, pp. 97–115. Article
June 20, 2017, at 05:39 PM by 45.56.3.173 -
Changed line 44 from:
  1. Udy, J., Maddux, S., Peterson, D., Heilner, S., Stevens, K., Lignell, D., Hedengren, J.D., Review of Injection Optimization for Enhanced Oil Recovery, Journal of Petroleum Science and Engineering, in review, 2017.
to:
  1. Udy, J., Hansen, B., Maddux, S., Peterson, D., Heilner, S., Stevens, K., Lignell, D., Hedengren, J.D., Review of Field Development Optimization of Waterflooding, EOR, and Well Placement Focusing on History Matching and Optimization Algorithms, Processes, in review, 2017.
May 13, 2017, at 12:04 AM by 45.56.3.173 -
Changed line 52 from:
  1. Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling with Dominant Time Constant Compensation, 2017, doi: 10.1016/j.compchemeng.2017.04.024. Preprint
to:
  1. Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling with Dominant Time Constant Compensation, 2017, doi: 10.1016/j.compchemeng.2017.04.024. Preprint | Article (Free Access until July 17)
May 11, 2017, at 01:53 PM by 10.5.113.121 -
Changed lines 16-17 from:
 Assistant Professor
 350R Clyde Building
to:
 Associate Professor
 350E Clyde Building
May 11, 2017, at 01:52 PM by 10.5.113.121 -
Added lines 22-25:

John Hedengren is Associate Professor at Brigham Young University in the Chemical Engineering Department, leading the PRISM (Process Research and Intelligent System Modeling) group. Prof. Hedengren teaches courses on computational methods, process dynamics and control, optimization, dynamic optimization, and fundamentals of chemical engineering. He is a chemical engineer by training with a B.S. and M.S. degree from Brigham Young University, and a Ph.D. from the University of Texas at Austin.

Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and offshore oil platforms.

Deleted lines 36-39:

John Hedengren is Associate Professor at Brigham Young University in the Chemical Engineering Department, leading the PRISM (Process Research and Intelligent System Modeling) group. Prof. Hedengren teaches courses on computational methods, process dynamics and control, optimization, dynamic optimization, and fundamentals of chemical engineering. He is a chemical engineer by training with a B.S. and M.S. degree from Brigham Young University, and a Ph.D. from the University of Texas at Austin.

Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and off-shore oil platforms.

May 11, 2017, at 01:52 PM by 10.5.113.121 -
Changed lines 34-36 from:

Training and Experience

Associate Professor at Brigham Young University in the Chemical Engineering Department, leading the PRISM (Process Research and Intelligent System Modeling) group. Prof. Hedengren teaches courses on computational methods, process dynamics and control, optimization, dynamic optimization, and fundamentals of chemical engineering. He is a chemical engineer by training with a B.S. and M.S. degree from Brigham Young University, and a Ph.D. from the University of Texas at Austin.

to:

John Hedengren is Associate Professor at Brigham Young University in the Chemical Engineering Department, leading the PRISM (Process Research and Intelligent System Modeling) group. Prof. Hedengren teaches courses on computational methods, process dynamics and control, optimization, dynamic optimization, and fundamentals of chemical engineering. He is a chemical engineer by training with a B.S. and M.S. degree from Brigham Young University, and a Ph.D. from the University of Texas at Austin.

May 11, 2017, at 01:50 PM by 10.5.113.121 -
Changed lines 36-39 from:

I am an Associate Professor at Brigham Young University in the Chemical Engineering Department and lead the PRISM (Process Research and Intelligent System Modeling) group. I teach courses on computational methods, process dynamics and control, optimization, dynamic optimization, and fundamentals of chemical engineering. I am a chemical engineer by training with a B.S. and M.S. degree from Brigham Young University, and a Ph.D. from the University of Texas at Austin.

I consulted for Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, and TOTAL on automation solutions and then full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. I have experience with industrial control PLC and DCS systems including Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. My area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, I have extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that I developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and off-shore oil platforms.

to:

Associate Professor at Brigham Young University in the Chemical Engineering Department, leading the PRISM (Process Research and Intelligent System Modeling) group. Prof. Hedengren teaches courses on computational methods, process dynamics and control, optimization, dynamic optimization, and fundamentals of chemical engineering. He is a chemical engineer by training with a B.S. and M.S. degree from Brigham Young University, and a Ph.D. from the University of Texas at Austin.

Prof. Hedengren has consulting experience with Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, TOTAL, and other companies on automation solutions. He worked full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, he has extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that he developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and off-shore oil platforms.

May 11, 2017, at 01:47 PM by 10.5.113.121 -
Changed lines 20-23 from:
 Provo, UT 84602

I am an Associate Professor at Brigham Young University in the Chemical Engineering Department and lead the PRISM (Process Research and Intelligent System Modeling) group (http://apm.byu.edu/prism). I am a chemical engineer by training with a B.S. and M.S. degree from Brigham Young University, and a Ph.D. from the University of Texas at Austin. I consulted for Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, and TOTAL on automation solutions and then full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. I have experience with industrial control PLC and DCS systems including Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. My area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, I have extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that I developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and off-shore oil platforms. I teach courses on computational methods, process dynamics and control, optimization, dynamic optimization, and fundamentals of chemical engineering.

to:
 Provo, UT 84602 
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  • Fast Model Predictive Control
  • Systems Biology
to:
  • Model Predictive Control
Added lines 33-38:

Training and Experience

I am an Associate Professor at Brigham Young University in the Chemical Engineering Department and lead the PRISM (Process Research and Intelligent System Modeling) group. I teach courses on computational methods, process dynamics and control, optimization, dynamic optimization, and fundamentals of chemical engineering. I am a chemical engineer by training with a B.S. and M.S. degree from Brigham Young University, and a Ph.D. from the University of Texas at Austin.

I consulted for Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, and TOTAL on automation solutions and then full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. I have experience with industrial control PLC and DCS systems including Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. My area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, I have extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that I developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and off-shore oil platforms.

May 11, 2017, at 01:43 PM by 10.5.113.121 -
Added lines 21-22:

I am an Associate Professor at Brigham Young University in the Chemical Engineering Department and lead the PRISM (Process Research and Intelligent System Modeling) group (http://apm.byu.edu/prism). I am a chemical engineer by training with a B.S. and M.S. degree from Brigham Young University, and a Ph.D. from the University of Texas at Austin. I consulted for Apache, ENI Petroleum, HESS, SABIC Ibn Zahr, and TOTAL on automation solutions and then full-time for 5 years with ExxonMobil supporting advanced control and optimization solutions. I have experience with industrial control PLC and DCS systems including Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. My area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil and gas processes, unmanned aerial systems, systems biology, and grid-scale energy systems. In chemicals manufacturing, I have extensive experience in automation and modeling of the production of polymers such as polyethylene, polypropylene, butyl rubber, and polystyrene as well as specialty chemicals (polyalphaolefins). Automation software (APMonitor) that I developed has been applied in over 100 industrial applications world-wide in refineries, chemical plants, and off-shore oil platforms. I teach courses on computational methods, process dynamics and control, optimization, dynamic optimization, and fundamentals of chemical engineering.

May 05, 2017, at 02:26 AM by 174.148.11.170 -
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to:
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Associate Professor, Brigham Young University

May 04, 2017, at 11:09 PM by 174.148.11.170 -
Changed line 47 from:
  1. Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling with Dominant Time Constant Compensation, 2017, doi: 10.1016/j.compchemeng.2017.04.024.
to:
  1. Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling with Dominant Time Constant Compensation, 2017, doi: 10.1016/j.compchemeng.2017.04.024. Preprint
May 03, 2017, at 03:12 PM by 45.56.3.173 -
Changed lines 45-46 from:
  1. Martin, R.A., Blackburn, L., Pulsipher, J., Franke, K., Hedengren, J.D., Potential Benefits of Combining Anomaly Detection with View Planning for UAV Infrastructure Modeling, accepted, 2017. Preprint
to:
  1. Martin, R.A., Blackburn, L., Pulsipher, J., Franke, K., Hedengren, J.D., Potential Benefits of Combining Anomaly Detection with View Planning for UAV Infrastructure Modeling, 9(5), 434, 2017, doi:10.3390/rs9050434. Article (Open Access)
Changed line 69 from:
  1. Martin, R.A., Rojas, I., Franke, K.W., Hedengren, J.D., Evolutionary View Planning for Optimized UAV Terrain Modeling in a Simulated Environment, Remote Sensing, 8(1), 26, 2016, DOI:10.3390/rs8010026. Article
to:
  1. Martin, R.A., Rojas, I., Franke, K.W., Hedengren, J.D., Evolutionary View Planning for Optimized UAV Terrain Modeling in a Simulated Environment, Remote Sensing, 8(1), 26, 2016, DOI:10.3390/rs8010026. Article (Open Access)
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Changed lines 45-46 from:
  1. Martin, R.A., Blackburn, L., Pulsipher, J., Franke, K., Hedengren, J.D., Potential Benefits of Combining Anomaly Detection

with View Planning for UAV Infrastructure Modeling, accepted, 2017. Preprint

to:
  1. Martin, R.A., Blackburn, L., Pulsipher, J., Franke, K., Hedengren, J.D., Potential Benefits of Combining Anomaly Detection with View Planning for UAV Infrastructure Modeling, accepted, 2017. Preprint
May 01, 2017, at 05:01 PM by 45.56.3.173 -
Changed lines 39-44 from:
  1. Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling Optimization to Exploit Dynamic Energy and Product Pricing, submitted, 2017.
  2. Martin, R.A., Blackburn, L., Pulsipher, J., Franke, K., Hedengren, J.D., Quantifying Potential Benefits of Multi-Scale UAV Monitoring of Long Linear Infrastructure, submitted, 2017. Preprint
  3. Udy, J., Maddux, S., Peterson, D., Heilner, S., Stevens, K., Lignell, D., Hedengren, J.D., Review of Injection Optimization for Enhanced Oil Recovery, Journal of Petroleum Science and Engineering, in review, 2016.
to:
  1. Udy, J., Maddux, S., Peterson, D., Heilner, S., Stevens, K., Lignell, D., Hedengren, J.D., Review of Injection Optimization for Enhanced Oil Recovery, Journal of Petroleum Science and Engineering, in review, 2017.
Added lines 44-48:
  1. Martin, R.A., Blackburn, L., Pulsipher, J., Franke, K., Hedengren, J.D., Potential Benefits of Combining Anomaly Detection

with View Planning for UAV Infrastructure Modeling, accepted, 2017. Preprint

  1. Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling with Dominant Time Constant Compensation, 2017, doi: 10.1016/j.compchemeng.2017.04.024.
April 11, 2017, at 10:15 AM by 10.5.113.121 -
Changed line 155 from:
  1. Aghito, M., Bjørkevoll, K.S., Nybø, R., Eaton, A., Hedengren, J.D., Automatic Model Calibration for Drilling Automation, SPE Bergen One Day Seminar, Bergen, Norway, 5 April 2017. Abstract
to:
  1. Aghito, M., Bjørkevoll, K.S., Nybø, R., Eaton, A., Hedengren, J.D., Automatic Model Calibration for Drilling Automation, SPE Bergen One Day Seminar, Bergen, Norway, 5 April 2017. Article
March 17, 2017, at 02:00 AM by 82.217.12.178 -
Changed line 163 from:
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract | Paper | Presentation
to:
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Paper | Presentation
March 17, 2017, at 01:47 AM by 82.217.12.178 -
Changed lines 163-164 from:
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract | [[https://www.onepetro.org/conference-paper/SPE-184610-MS

|Paper]] | Presentation

to:
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract | Paper | Presentation
March 17, 2017, at 01:46 AM by 82.217.12.178 -
Changed lines 163-164 from:
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract | Presentation
to:
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract | [[https://www.onepetro.org/conference-paper/SPE-184610-MS

|Paper]] | Presentation

March 17, 2017, at 01:14 AM by 82.217.12.178 -
Changed line 163 from:
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract | Paper | Presentation
to:
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract | Presentation
March 11, 2017, at 09:03 PM by 174.148.173.12 -
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  • APMonitor Software: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award (Citation).
to:
  • APMonitor Software: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award.
March 11, 2017, at 09:01 PM by 174.148.173.12 -
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  1. Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling Optimization to Exploit Dynamic Energy and Product Pricing, submitted, 2017.
March 09, 2017, at 02:56 PM by 10.5.113.121 -
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  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract Paper Presentation
to:
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract | Paper | Presentation
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  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract
to:
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract Paper Presentation
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  1. Hedengren, J. D., Eaton, A. N., Overview of Estimation Methods for Industrial Dynamic Systems, Optimization and Engineering, Springer, Vol 18 (1), 2017, pp. 155-178, DOI: 10.1007/s11081-015-9295-9. Preprint, Article
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  1. Hedengren, J. D., Eaton, A. N., Overview of Estimation Methods for Industrial Dynamic Systems, Special Issue on Optimization in the Oil and Gas Industry, Optimization and Engineering, Springer, 2015, DOI: 10.1007/s11081-015-9295-9. Preprint, Article
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  1. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, Journal of Geotechnical and Geoenvironmental Engineering, 2016, doi:10.1061/(ASCE)GT.1943-5606.0001647. Article
to:
  1. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, Journal of Geotechnical and Geoenvironmental Engineering, 2016, doi:10.1061/(ASCE)GT.1943-5606.0001647. Article
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  1. Aghito, M., Bjørkevoll, K.S., Nybø, R., Eaton, A., Hedengren, J.D., Automatic Model Calibration for Drilling Automation, SPE Bergen One Day Seminar, Bergen, Norway, 5 April 2017. Preprint
to:
  1. Aghito, M., Bjørkevoll, K.S., Nybø, R., Eaton, A., Hedengren, J.D., Automatic Model Calibration for Drilling Automation, SPE Bergen One Day Seminar, Bergen, Norway, 5 April 2017. Abstract
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  1. Aghito, M., Bjørkevoll, K.S., Nybø, R., Eaton, A., Hedengren, J.D., Automatic Model Calibration for Drilling Automation, SPE Bergen One Day Seminar, Bergen, Norway, 5 April 2017. Preprint
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  1. Okeson, T., Barrett, B., Blackburn, L., Hedengren, J.D., Franke, K., Optimized Infrastructure Monitoring: 3D Modeling in Complex Environments, Center for Unmanned Aircraft Systems (C-UAS), Atlanta, GA, 8 Feb 2017. Presentation
February 08, 2017, at 02:53 PM by 173.115.111.58 -
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  1. Martin, R.A., Blackburn, L., Pulsipher, J., Franke, K., Hedengren, J.D., Quantifying Potential Benefits of Multi-Scale UAV Monitoring of Long Linear Infrastructure, ISPRS Journal of Photogrammetry and Remote Sensing, submitted, 2016.
to:
  1. Martin, R.A., Blackburn, L., Pulsipher, J., Franke, K., Hedengren, J.D., Quantifying Potential Benefits of Multi-Scale UAV Monitoring of Long Linear Infrastructure, submitted, 2017. Preprint
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John D. Hedengren

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 Google Scholar
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  1. Taysom, S., Hedengren, J.D., Sorensen, C., A Comparison of Model Predictive Control and PID Temperature Control in Friction Stir Welding, 2017, submitted.
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  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, accepted, Vol. 118, 1 January 2017, pp. 97–115. Article
to:
  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, Vol 118, 1 January 2017, pp. 97–115. Article
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  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, accepted, Vol. 118, 1 January 2017, pp. 97–115. https://authors.elsevier.com/a/1UEQ7_8CgI-dD6
to:
  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, accepted, Vol. 118, 1 January 2017, pp. 97–115. Article
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  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, accepted, 2017.
to:
  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, accepted, Vol. 118, 1 January 2017, pp. 97–115. https://authors.elsevier.com/a/1UEQ7_8CgI-dD6
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  1. Eaton, A., Beal, L., Thorpe, S.D., Janis, E.H., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Bjørkevoll, K., El Boubsi, R., Braaksma, J., and van Og, G., Ensemble Model Predictive Control for Robust Automated Managed Pressure Drilling, SPE Drilling & Completion, SPE-174969-MS, in review, 2016.
  2. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, in review, 2016.
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2017
  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, accepted, 2017.
  2. Eaton, A.N., Beal, L., Thorpe, S., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Real Time Model Identification Using Multi-Fidelity Models in Managed Pressure Drilling, Computers and Chemical Engineering, Vol 97, 2 February 2017, pp. 76–84, doi:10.1016/j.compchemeng.2016.11.008. Article
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  1. Eaton, A.N., Beal, L., Thorpe, S., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Real Time Model Identification Using Multi-Fidelity Models in Managed Pressure Drilling, Computers and Chemical Engineering, 2016, doi:10.1016/j.compchemeng.2016.11.008. Article
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December 10, 2016, at 07:11 AM by 173.117.163.116 -
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  1. Martin, R.A., Blackburn, L., Pulsipher, J., Franke, K., Hedengren, J.D., Quantifying Potential Benefits of Multi-Scale UAV Monitoring of Long Linear Infrastructure, ISPRS Journal of Photogrammetry and Remote Sensing, submitted, 2016.
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  1. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, Journal of Geotechnical and Geoenvironmental Engineering, accepted for publication.
Added lines 63-64:
  1. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, Journal of Geotechnical and Geoenvironmental Engineering, 2016, doi:10.1061/(ASCE)GT.1943-5606.0001647. Article
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  1. Udy, J., Blackburn, L., Hedengren, J.D., Darby, M., Reduced Order Modeling for Reservoir Injection Optimization and Forecasting, FOCAPO / CPC 2017, Tuscon, AZ, Jan 2017.
to:
  1. Udy, J., Blackburn, L., Hedengren, J.D., Darby, M., Reduced Order Modeling for Reservoir Injection Optimization and Forecasting, FOCAPO / CPC 2017, Tuscon, AZ, Jan 2017. Preprint
November 18, 2016, at 06:55 AM by 81.186.255.19 -
Deleted lines 47-48:
  1. Eaton, A.N., Beal, L., Thorpe, S., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Real Time Model Identification Using Multi-Fidelity Models in Managed Pressure Drilling, Computers and Chemical Engineering, accepted for publication, 2016.
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  1. Eaton, A.N., Beal, L., Thorpe, S., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Real Time Model Identification Using Multi-Fidelity Models in Managed Pressure Drilling, Computers and Chemical Engineering, 2016, doi:10.1016/j.compchemeng.2016.11.008. Article
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  1. Ruggles, S., Clark, J., Franke, K.W., Wolfe, D., Reimschiissel, B., Martin, R.A., Okeson, T.J., Hedengren, J.D., Comparison of SfM Computer Vision Point Clouds of a Landslide Derived from Multiple Small UAV Platforms and Sensors to a TLS based Model, Journal of Unmanned Vehicle Systems, 2016, doi:10.1139/juvs-2015-0043.Preprint
to:
  1. Ruggles, S., Clark, J., Franke, K.W., Wolfe, D., Reimschiissel, B., Martin, R.A., Okeson, T.J., Hedengren, J.D., Comparison of SfM Computer Vision Point Clouds of a Landslide Derived from Multiple Small UAV Platforms and Sensors to a TLS based Model, Journal of Unmanned Vehicle Systems, 2016, doi:10.1139/juvs-2015-0043. Preprint
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  1. Eaton, A.N., Beal, L., Thorpe, S., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Real Time Model Identification Using Multi-Fidelity Models in Managed Pressure Drilling, Computers and Chemical Engineering, in review, 2016.
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  1. Eaton, A.N., Beal, L., Thorpe, S., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Real Time Model Identification Using Multi-Fidelity Models in Managed Pressure Drilling, Computers and Chemical Engineering, accepted for publication, 2016.
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  1. Udy, J., Blackburn, L., Hedengren, J.D., Darby, M., Reduced Order Modeling for Reservoir Injection Optimization and Forecasting, FOCAPO / CPC 2017, Tuscon, AZ, in review, Jan 2017.
Deleted lines 47-48:
  1. Franke, K., Nguyen, T., Shao, L., Bender, C., Wolfe, D., Hedengren, J.D., Reimschiissel, B., The Use of Unmanned Aerial Vehicles (UAVs) and Structure from Motion (SfM) to Measure Volume Change at a Deep Dynamic Compaction Site, Geotechnical Frontiers, March 12-15, 2017, Orlando, Florida, in review.
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  1. Beal, L., Clark, J., Anderson, M., Warnick, S., Hedengren, J.D., Combined Scheduling and Control with Diurnal Constraints and Costs using a Discrete Time Formulation, FOCAPO / CPC 2017, Tuscon, AZ, Jan 2017.
  2. Udy, J., Blackburn, L., Hedengren, J.D., Darby, M., Reduced Order Modeling for Reservoir Injection Optimization and Forecasting, FOCAPO / CPC 2017, Tuscon, AZ, Jan 2017.
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  1. Franke, K., Nguyen, T., Shao, L., Bender, C., Wolfe, D., Hedengren, J.D., Reimschiissel, B., The Use of Unmanned Aerial Vehicles (UAVs) and Structure from Motion (SfM) to Measure Volume Change at a Deep Dynamic Compaction Site, Geotechnical Frontiers, March 12-15, 2017, Orlando, Florida.
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  1. Udy, J., Blackburn, L., Hedengren, J.D., Darby, M., Constrained Estimation of Higher Order Data Driven Reservoir Models, American Control Conference, Seattle, WA, in review, May 2017.
to:
  1. Udy, J., Blackburn, L., Hedengren, J.D., Darby, M., Reduced Order Modeling for Reservoir Injection Optimization and Forecasting, FOCAPO / CPC 2017, Tuscon, AZ, in review, Jan 2017.
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  1. Udy, J., Blackburn, L., Hedengren, J.D., Darby, M., Constrained Estimation of Higher Order Data Driven Reservoir Models, American Control Conference, Seattle, WA, in review, May 2017.
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  1. Eaton, A., Beal, L., Thorpe, S.D., Janis, E.H., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Bjørkevoll, K., El Boubsi, R., Braaksma, J., and van Og, G., Ensemble Model Predictive Control for Robust Automated Managed Pressure Drilling, SPE Drilling & Completion, SPE-174969-MS, in review, 2016.
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  1. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Journal of Geotechnical and Geoenvironmental Engineering, Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, in review.
to:
  1. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, Journal of Geotechnical and Geoenvironmental Engineering, accepted for publication.
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Contact Information

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  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J.D., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE/IADC Drilling Conference and Exhibition, 14-16 March 2017, The Hague, The Netherlands, in review.
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2017
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Abstract
August 09, 2016, at 12:23 AM by 10.5.113.170 -
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  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Volume 263, 1 March 2015, Pages 268–279, ISSN 1385-8947, doi: 10.1016/j.cej.2014.10.108. Article
to:
  1. Hallac, B., Keyvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Volume 263, 1 March 2015, Pages 268–279, ISSN 1385-8947, doi: 10.1016/j.cej.2014.10.108. Article
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  1. Ruggles, S., Clark, J., Franke, K.W., Wolfe, D., Reimschiissel, B., Martin, R.A., Okeson, T.J., Hedengren, J.D., Comparison of SfM Computer Vision Point Clouds of a Landslide Derived from Multiple Small UAV Platforms and Sensors to a TLS based Model, Journal of Unmanned Vehicle Systems, 2016. Preprint
to:
  1. Ruggles, S., Clark, J., Franke, K.W., Wolfe, D., Reimschiissel, B., Martin, R.A., Okeson, T.J., Hedengren, J.D., Comparison of SfM Computer Vision Point Clouds of a Landslide Derived from Multiple Small UAV Platforms and Sensors to a TLS based Model, Journal of Unmanned Vehicle Systems, 2016, doi:10.1139/juvs-2015-0043.Preprint
July 27, 2016, at 06:36 PM by 216.215.93.42 -
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  1. Grimsman, D., Warnick, S., Beal, L., Hedengren, J.D., Feedback Linearization of a Continuous Stirred-Tank Reactor for the Integration of Scheduling and Control, 55th IEEE Conference on Decision and Control (CDC), ARIA Resort & Casino, Las Vegas, NV, in review, 2016.
July 23, 2016, at 12:45 AM by 63.158.87.14 -
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  1. Powell, K. M., Hedengren, J. D., and Edgar, T. F., A Continuous Formulation for Logical Decisions in Differential Algebraic Systems using Mathematical Programs of Equilibrium Constraints, Preprint submitted to Industrial & Engineering Chemistry Research, 2013. Preprint
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  1. Powell, K.M., Kim, J.S., Kapoor, K., Mojica, J.L., Hedengren, J.D., and Edgar, T.F., Thermal Energy Storage and Improve Efficiency of a Polygeneration Distributed Energy System in a Real-Time Electricity Market, Energy, 113, 52–63, 2016, doi:10.1016/j.energy.2016.07.009. Article
to:
  1. Powell, K.M., Kim, J.S., Kapoor, K., Mojica, J.L., Hedengren, J.D., and Edgar, T.F., Thermal Energy Storage to Minimize Cost and Improve Efficiency of a Polygeneration District Energy System in a Real-time Electricity Market, Energy, 113, 52–63, 2016, doi:10.1016/j.energy.2016.07.009. Article
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  1. Powell, K.M., Kim, J.S., Kapoor, K., Mojica, J.L., Hedengren, J.D., and Edgar, T.F., Thermal Energy Storage and Improve Efficiency of a Polygeneration Distributed Energy System in a Real-Time Electricity Market, Energy, 2016, accepted for publication.
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  1. Powell, K.M., Kim, J.S., Kapoor, K., Mojica, J.L., Hedengren, J.D., and Edgar, T.F., Thermal Energy Storage and Improve Efficiency of a Polygeneration Distributed Energy System in a Real-Time Electricity Market, Energy, 113, 52–63, 2016, doi:10.1016/j.energy.2016.07.009. Article
July 15, 2016, at 01:39 AM by 66.87.137.175 -
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  1. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, 23, 165-174, 2016, doi:10.1016/j.jmapro.2016.06.004. |Article
to:
  1. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, 23, 165-174, 2016, doi:10.1016/j.jmapro.2016.06.004. Article
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  1. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, 23, 165-174, 2016, doi:10.1016/j.jmapro.2016.06.004. |http://www.sciencedirect.com/science/article/pii/S1526612516300603?via%3Dihub?
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  1. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, 23, 165-174, 2016, doi:10.1016/j.jmapro.2016.06.004. |Article
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  1. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, 23, 165-174, 2016, doi:10.1016/j.jmapro.2016.06.004.
to:
  1. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, 23, 165-174, 2016, doi:10.1016/j.jmapro.2016.06.004. |http://www.sciencedirect.com/science/article/pii/S1526612516300603?via%3Dihub?
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  1. Ruggles, S., Clark, J., Franke, K.W., Wolfe, D., Reimschiissel, B., Martin, R.A., Okeson, T.J., Hedengren, J.D., Comparison of SfM Computer Vision Point Clouds of a landslide derived from Multiple Small UAV Platforms and Sensors compared to a TLS based Model, Journal of Unmanned Vehicle Systems, 2016. Preprint Δ
to:
  1. Ruggles, S., Clark, J., Franke, K.W., Wolfe, D., Reimschiissel, B., Martin, R.A., Okeson, T.J., Hedengren, J.D., Comparison of SfM Computer Vision Point Clouds of a Landslide Derived from Multiple Small UAV Platforms and Sensors to a TLS based Model, Journal of Unmanned Vehicle Systems, 2016. Preprint
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  1. Ruggles, S., Clark, J., Franke, K.W., Wolfe, D., Reimschiissel, B., Martin, R.A., Okeson, T.J., Hedengren, J.D., Comparison of SfM Computer Vision Point Clouds of a landslide derived from Multiple Small UAV Platforms and Sensors compared to a TLS based Model, Journal of Unmanned Vehicle Systems, 2016, accepted for publication.
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  1. Ruggles, S., Clark, J., Franke, K.W., Wolfe, D., Reimschiissel, B., Martin, R.A., Okeson, T.J., Hedengren, J.D., Comparison of SfM Computer Vision Point Clouds of a landslide derived from Multiple Small UAV Platforms and Sensors compared to a TLS based Model, Journal of Unmanned Vehicle Systems, 2016. Preprint Δ
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  1. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, 2016, accepted for publication.
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  1. Franke, K., Nguyen, T., Shao, L., Bender, C., Wolfe, D., Hedengren, J.D., Reimschiissel, B., The Use of Unmanned Aerial Vehicles (UAVs) and Structure from Motion (SfM) to Measure Volume Change at a Deep Dynamic Compaction Site, Geotechnical Frontiers, March 12-15, 2017, Orlando, Florida.
  2. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Journal of Geotechnical and Geoenvironmental Engineering, Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, in review, 2016.
to:
  1. Franke, K., Nguyen, T., Shao, L., Bender, C., Wolfe, D., Hedengren, J.D., Reimschiissel, B., The Use of Unmanned Aerial Vehicles (UAVs) and Structure from Motion (SfM) to Measure Volume Change at a Deep Dynamic Compaction Site, Geotechnical Frontiers, March 12-15, 2017, Orlando, Florida, in review.
  2. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Journal of Geotechnical and Geoenvironmental Engineering, Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, in review.
Added lines 60-61:
  1. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, 23, 165-174, 2016, doi:10.1016/j.jmapro.2016.06.004.
July 06, 2016, at 05:36 PM by 45.56.3.173 -
Changed lines 41-44 from:
  1. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, accepted for publication.
  2. Powell, K.M., Kim, J.S., Kapoor, K., Mojica, J.L., Hedengren, J.D., and Edgar, T.F., Thermal Energy Storage and Improve Efficiency of a Polygeneration Distributed Energy System in a Real-Time Electricity Market, Energy, in review, 2016.
to:
  1. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, 2016, accepted for publication.
  2. Powell, K.M., Kim, J.S., Kapoor, K., Mojica, J.L., Hedengren, J.D., and Edgar, T.F., Thermal Energy Storage and Improve Efficiency of a Polygeneration Distributed Energy System in a Real-Time Electricity Market, Energy, 2016, accepted for publication.
  3. Ruggles, S., Clark, J., Franke, K.W., Wolfe, D., Reimschiissel, B., Martin, R.A., Okeson, T.J., Hedengren, J.D., Comparison of SfM Computer Vision Point Clouds of a landslide derived from Multiple Small UAV Platforms and Sensors compared to a TLS based Model, Journal of Unmanned Vehicle Systems, 2016, accepted for publication.
Deleted lines 51-52:
  1. Ruggles, S., Clark, J., Franke, K.W., Wolfe, D., Hedengren, J.D., Martin, R.A., Reimschiissel, B., Comparison of SfM Computer Vision Point Clouds of a Landslide Developed from Multiple Small UAV Platforms and Sensors, Journal of Unmanned Vehicle Systems, in review, 2016.
June 28, 2016, at 12:52 PM by 45.56.3.173 -
Added lines 58-59:
  1. Franke, K.W., Rollins, K.M. Ledezma, C., Hedengren, J.D., Wolfe, D. Ruggles, S., Bender, C., Reimschiissel, B., Journal of Geotechnical and Geoenvironmental Engineering, Reconnaissance of Two Liquefaction Sites using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake, in review, 2016.
June 24, 2016, at 11:06 PM by 10.5.113.135 -
Added lines 56-57:
  1. Franke, K., Nguyen, T., Shao, L., Bender, C., Wolfe, D., Hedengren, J.D., Reimschiissel, B., The Use of Unmanned Aerial Vehicles (UAVs) and Structure from Motion (SfM) to Measure Volume Change at a Deep Dynamic Compaction Site, Geotechnical Frontiers, March 12-15, 2017, Orlando, Florida.
June 19, 2016, at 05:43 AM by 45.56.3.173 -
Changed line 99 from:
  1. Hedengren, J. D. and Asgharzadeh Shishavan, R., Powell, K.M., and Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Computers and Chemical Engineering, Volume 70, pg. 133–148, 2014, DOI: 10.1016/j.compchemeng.2014.04.013. Preprint Article
to:
  1. Hedengren, J.D., Asgharzadeh Shishavan, R., Powell, K.M., Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Computers and Chemical Engineering, Volume 70, pg. 133–148, 2014, DOI: 10.1016/j.compchemeng.2014.04.013. Preprint Article
June 16, 2016, at 05:44 PM by 10.10.146.136 -
Added lines 54-55:
  1. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J.D., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE/IADC Drilling Conference and Exhibition, 14-16 March 2017, The Hague, The Netherlands, in review.
June 14, 2016, at 06:23 AM by 45.56.3.173 -
Changed lines 53-54 from:
  1. Udy, J., Maddux, S., Peterson, D., Heilner, S., Stevens, K.,

Lignell, D., Hedengren, J.D., Review of Injection Optimization for Enhanced Oil Recovery, Journal of Petroleum Science and Engineering, in review, 2016.

to:
  1. Udy, J., Maddux, S., Peterson, D., Heilner, S., Stevens, K., Lignell, D., Hedengren, J.D., Review of Injection Optimization for Enhanced Oil Recovery, Journal of Petroleum Science and Engineering, in review, 2016.
June 14, 2016, at 06:23 AM by 45.56.3.173 -
Added lines 52-54:
  1. Udy, J., Maddux, S., Peterson, D., Heilner, S., Stevens, K.,

Lignell, D., Hedengren, J.D., Review of Injection Optimization for Enhanced Oil Recovery, Journal of Petroleum Science and Engineering, in review, 2016.

June 12, 2016, at 05:55 AM by 45.56.3.173 -
Added lines 50-51:
  1. Ruggles, S., Clark, J., Franke, K.W., Wolfe, D., Hedengren, J.D., Martin, R.A., Reimschiissel, B., Comparison of SfM Computer Vision Point Clouds of a Landslide Developed from Multiple Small UAV Platforms and Sensors, Journal of Unmanned Vehicle Systems, in review, 2016.
June 12, 2016, at 05:46 AM by 45.56.3.173 -
Added lines 48-49:
  1. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, in review, 2016.
June 11, 2016, at 06:09 PM by 45.56.3.173 -
Added lines 43-48:
  1. Powell, K.M., Kim, J.S., Kapoor, K., Mojica, J.L., Hedengren, J.D., and Edgar, T.F., Thermal Energy Storage and Improve Efficiency of a Polygeneration Distributed Energy System in a Real-Time Electricity Market, Energy, in review, 2016.
  2. Eaton, A.N., Beal, L., Thorpe, S., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Real Time Model Identification Using Multi-Fidelity Models in Managed Pressure Drilling, Computers and Chemical Engineering, in review, 2016.
  3. Grimsman, D., Warnick, S., Beal, L., Hedengren, J.D., Feedback Linearization of a Continuous Stirred-Tank Reactor for the Integration of Scheduling and Control, 55th IEEE Conference on Decision and Control (CDC), ARIA Resort & Casino, Las Vegas, NV, in review, 2016.
Deleted lines 87-88:
  1. Powell, K.M., Kim, J.S., Kapoor, K., Mojica, J.L., Hedengren, J.D., and Edgar, T.F., "Dynamic Optimization of a District Energy System with Combined Heat and Power and Thermal Energy Storage", Energy, in review, 2014.
June 09, 2016, at 10:24 PM by 10.5.113.187 -
Changed line 41 from:

Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, accepted for publication.

to:
  1. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, accepted for publication.
June 09, 2016, at 10:23 PM by 10.5.113.187 -
Added lines 38-41:
Pending

Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, accepted for publication.

April 13, 2016, at 01:06 PM by 45.56.3.173 -
Added lines 136-141:
  1. Eaton, A.N., Park, J., Thorpe, S., Webber, T., Safdarnejad, S.M., Hedengren, J.D., High-Speed Data and High-Fidelity Models: Opportunities and Challenges in Well Manufacturing, AIChE Spring Meeting, Houston, TX, April 2016. Presentation Abstract
  2. Safdarnejad, S.M., Richards, J., Griffiths, J., Hedengren, J.D., Baxter, L.L., Increased Stability of a Power Grid by Energy Storage of Cryogenic Carbon Capture, AIChE Spring Meeting, Houston, TX, April 2016. Presentation Abstract
  3. Nikbakhsh, S., Hedengren, J.D., Darby, M., Udy, J., Constrained Model Identification Using Open-Equation Nonlinear Optimization, AIChE Spring Meeting, Houston, TX, April 2016. Presentation Abstract
March 31, 2016, at 12:26 AM by 10.5.113.123 -
Changed lines 41-42 from:
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Dynamic Optimization of a Hybrid System of Energy-Storing Cryogenic Carbon Capture and a Baseline Power Generation Unit Applied Energy, Applied Energy Journal, 172 (15), 66–79, June 2016,

doi:10.1016/j.apenergy.2016.03.074. Article

to:
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Dynamic Optimization of a Hybrid System of Energy-Storing Cryogenic Carbon Capture and a Baseline Power Generation Unit Applied Energy, Applied Energy Journal, 172 (15), 66–79, June 2016, doi:10.1016/j.apenergy.2016.03.074. Article
March 31, 2016, at 12:26 AM by 10.5.113.123 -
Changed lines 41-42 from:
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Dynamic Optimization of a Hybrid System of Energy-Storing Cryogenic Carbon Capture and a Baseline Power Generation Unit Applied Energy, Applied Energy Journal, 2016, accepted.
to:
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Dynamic Optimization of a Hybrid System of Energy-Storing Cryogenic Carbon Capture and a Baseline Power Generation Unit Applied Energy, Applied Energy Journal, 172 (15), 66–79, June 2016,

doi:10.1016/j.apenergy.2016.03.074. Article

March 24, 2016, at 06:06 PM by 10.5.113.125 -
Changed line 43 from:
  1. Powell, K. M., Eaton, A. N., Hedengren, J. D., Edgar, T. F., A Continuous Formulation for Logical Decisions in Differential Algebraic Systems using Mathematical Programs of Complementarity Constraints, Processes, 2016, accepted.
to:
  1. Powell, K. M., Eaton, A. N., Hedengren, J. D., Edgar, T. F., A Continuous Formulation for Logical Decisions in Differential Algebraic Systems using Mathematical Programs of Complementarity Constraints, Processes, 2016, 4(1), 7; doi:10.3390/pr4010007. Article
March 17, 2016, at 04:39 PM by 10.5.113.114 -
Added lines 40-41:
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Dynamic Optimization of a Hybrid System of Energy-Storing Cryogenic Carbon Capture and a Baseline Power Generation Unit Applied Energy, Applied Energy Journal, 2016, accepted.
March 12, 2016, at 08:26 PM by 45.56.3.173 -
Added lines 40-41:
  1. Powell, K. M., Eaton, A. N., Hedengren, J. D., Edgar, T. F., A Continuous Formulation for Logical Decisions in Differential Algebraic Systems using Mathematical Programs of Complementarity Constraints, Processes, 2016, accepted.
Changed lines 41-43 from:
  1. Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, 2016, accepted for publication, DOI: 10.1016/j.compchemeng.2015.12.001. Preprint, Article
  2. Martin, R.A., Rojas, I., Franke, K.W., Hedengren, J.D., Evolutionary View Planning for Optimized UAV Terrain Modeling in a Simulated Environment, Remote Sensing, 8(1), 26, doi:10.3390/rs8010026, 2016. Article
to:
  1. Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, Vol. 86, pp. 18–32, 2016, DOI: 10.1016/j.compchemeng.2015.12.001.Preprint, Article
  2. Martin, R.A., Rojas, I., Franke, K.W., Hedengren, J.D., Evolutionary View Planning for Optimized UAV Terrain Modeling in a Simulated Environment, Remote Sensing, 8(1), 26, 2016, DOI:10.3390/rs8010026. Article
Changed line 133 from:
  1. Martin, R.M., Hall, A., Brinton, C., Franke, K., and Hedengren, J.D., Privacy Aware Mission Planning and Video Masking for UAV Systems, UMS-01, Unmanned Systems: Mission Management and Planning Technologies, Jan 4, 2016, AIAA Infotech at Aerospace, AIAA Science and Technology Forum and Exposition 2016, San Diego, California, USA, 4-8 Jan 2016. Article
to:
  1. Martin, R.M., Hall, A., Brinton, C., Franke, K., and Hedengren, J.D., Privacy Aware Mission Planning and Video Masking for UAV Systems, UMS-01, Unmanned Systems: Mission Management and Planning Technologies, Jan 4, 2016, AIAA Infotech at Aerospace, AIAA Science and Technology Forum and Exposition 2016, San Diego, California, USA, 4-8 Jan 2016, DOI: 10.2514/6.2016-0250. Article
Changed line 133 from:
  1. Martin, R.M., Hall, A., Brinton, C., Franke, K., and Hedengren, J.D., Privacy Aware Mission Planning and Video Masking for UAV Systems, UMS-01, Unmanned Systems: Mission Management and Planning Technologies, Jan 4, 2016, AIAA Infotech at Aerospace, AIAA Science and Technology Forum and Exposition 2016, San Diego, California, USA, 4-8 Jan 2016.
to:
  1. Martin, R.M., Hall, A., Brinton, C., Franke, K., and Hedengren, J.D., Privacy Aware Mission Planning and Video Masking for UAV Systems, UMS-01, Unmanned Systems: Mission Management and Planning Technologies, Jan 4, 2016, AIAA Infotech at Aerospace, AIAA Science and Technology Forum and Exposition 2016, San Diego, California, USA, 4-8 Jan 2016. Article
Changed line 43 from:
  1. Martin, R.A., Rojas, I., Franke, K.W., Hedengren, J.D., Evolutionary View Planning for Optimized UAV Terrain Modeling in a Simulated Environment, Remote Sensing, Accepted for Publication, 2016.
to:
  1. Martin, R.A., Rojas, I., Franke, K.W., Hedengren, J.D., Evolutionary View Planning for Optimized UAV Terrain Modeling in a Simulated Environment, Remote Sensing, 8(1), 26, doi:10.3390/rs8010026, 2016. Article
December 29, 2015, at 07:19 PM by 65.158.250.162 -
Changed line 14 from:
to:
Added lines 42-43:
  1. Martin, R.A., Rojas, I., Franke, K.W., Hedengren, J.D., Evolutionary View Planning for Optimized UAV Terrain Modeling in a Simulated Environment, Remote Sensing, Accepted for Publication, 2016.
Changed line 79 from:
  1. Sun, L., Hedengren, J. D., and Beard, R. W., Optimal Trajectory Generation using Model Predictive Control for Aerially Towed Cable Systems, Journal of Guidance, Control, and Dynamics, Vol. 37, Issue 2, pp. 525-539, 2014. Preprint Article
to:
  1. Sun, L., Hedengren, J. D., and Beard, R. W., Optimal Trajectory Generation using Model Predictive Control for Aerially Towed Cable Systems, Journal of Guidance, Control, and Dynamics, Vol. 37, Issue 2, pp. 525-539, 2014. Preprint, Article
Changed line 41 from:
  1. Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, 2016, accepted for publication, DOI: 10.1016/j.compchemeng.2015.12.001. Preprint Article
to:
  1. Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, 2016, accepted for publication, DOI: 10.1016/j.compchemeng.2015.12.001. Preprint, Article
Changed lines 39-41 from:
Upcoming
  1. Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, 2016, accepted for publication, DOI: 10.1016/j.compchemeng.2015.12.001. Preprint
to:
2016
  1. Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, 2016, accepted for publication, DOI: 10.1016/j.compchemeng.2015.12.001. Preprint Article
Changed line 41 from:
  1. Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, 2016, accepted for publication. Preprint
to:
  1. Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, 2016, accepted for publication, DOI: 10.1016/j.compchemeng.2015.12.001. Preprint
December 02, 2015, at 01:05 AM by 10.10.145.218 -
Added lines 38-41:
Upcoming
  1. Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, 2016, accepted for publication. Preprint
December 01, 2015, at 06:28 PM by 10.10.145.218 -
Added lines 43-44:
  1. Sun, L., Castagno, J., Hedengren, J. D., and Beard, R. W., Parameter Estimation for Towed Cable Systems Using Moving Horizon Estimation, IEEE Transactions on Aerospace and Electronic Systems, Vol. 51, No. 2, April 2015. Preprint, Article
Deleted lines 71-72:
  1. Sun, L., Castagno, J., Hedengren, J. D., and Beard, R. W., Parameter Estimation for Towed Cable Systems Using Moving Horizon Estimation, IEEE Transactions on Aerospace and Electronic Systems, in press, 2014. Preprint
November 11, 2015, at 08:55 PM by 174.148.221.49 -
Changed line 133 from:
  1. Eaton, A.N., Beal, L., Janis, E., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Bjørkevoll, K., Addressing Control Challenges of Discontinuous Processes with Multi-Fidelity Model Predictive Control, Modeling, Control and Optimization of Energy Systems II, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract
to:
  1. Eaton, A.N., Beal, L., Janis, E., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Bjørkevoll, K., Addressing Control Challenges of Discontinuous Processes with Multi-Fidelity Model Predictive Control, Modeling, Control and Optimization of Energy Systems II, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract, Presentation
November 11, 2015, at 04:25 PM by 174.148.253.220 -
Changed lines 135-136 from:
  1. Park, J., Safdarnejad, M., Asgharzadeh Shishavan, R., Hedengren, J.D., Rastegar, R., Snell, A., Nonlinear Model Predictive Control of Managed Pressure Drilling Based on Hammerstein-Wiener Piecewise Linear Models, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract
to:
  1. Park, J., Safdarnejad, M., Asgharzadeh Shishavan, R., Hedengren, J.D., Rastegar, R., Snell, A., Nonlinear Model Predictive Control of Managed Pressure Drilling Based on Hammerstein-Wiener Piecewise Linear Models, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract, Presentation
Changed line 139 from:
  1. Safdarnejad, M., Hedengren, J.D., Baxter, L.B., Reduction in Cycling of the Boilers By Using Large-Scale Energy Storage of Cryogenic Carbon Capture, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract
to:
  1. Safdarnejad, M., Hedengren, J.D., Baxter, L.B., Reduction in Cycling of the Boilers By Using Large-Scale Energy Storage of Cryogenic Carbon Capture, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract, Presentation
November 08, 2015, at 12:20 AM by 174.148.89.190 -
Changed lines 79-83 from:
  1. Brower, D., Hedengren, J.D., Asgharzadeh Shishavan, R., and Brower, A., Advanced Deepwater Monitoring System, ASME 32st International Conference on Ocean, Offshore and Arctic Engineering, OMAE2013/10920, Nantes, France, June 2013, ISBN: 978-0-7918-5531-7. Preprint Presentation
  2. Jacobsen, L. T. and Hedengren, J. D., Model Predictive Control with a Rigorous Model of a Solid Oxide Fuel Cell, American Control Conference (ACC), Washington, DC, pp. 3747–3752, 2013. Preprint Presentation
  3. Kelly, J. D. and Hedengren, J. D., A Steady-State Detection (SSD) Algorithm to Detect Non-Stationary Drifts in Processes, Journal of Process Control, 23, 3, pp. 326–331, March 2013. Preprint Article
to:
  1. Brower, D., Hedengren, J.D., Asgharzadeh Shishavan, R., and Brower, A., Advanced Deepwater Monitoring System, ASME 32st International Conference on Ocean, Offshore and Arctic Engineering, OMAE2013/10920, Nantes, France, June 2013, ISBN: 978-0-7918-5531-7. Preprint, Presentation
  2. Jacobsen, L. T. and Hedengren, J. D., Model Predictive Control with a Rigorous Model of a Solid Oxide Fuel Cell, American Control Conference (ACC), Washington, DC, pp. 3747–3752, 2013. Preprint, Presentation
  3. Kelly, J. D. and Hedengren, J. D., A Steady-State Detection (SSD) Algorithm to Detect Non-Stationary Drifts in Processes, Journal of Process Control, 23, 3, pp. 326–331, March 2013. Preprint, Article
November 08, 2015, at 12:19 AM by 174.148.89.190 -
Changed line 41 from:
  1. Hedengren, J. D., Eaton, A. N., Overview of Estimation Methods for Industrial Dynamic Systems, Special Issue on Optimization in the Oil and Gas Industry, Optimization and Engineering, Springer, 2015, DOI: 10.1007/s11081-015-9295-9. Preprint Article
to:
  1. Hedengren, J. D., Eaton, A. N., Overview of Estimation Methods for Industrial Dynamic Systems, Special Issue on Optimization in the Oil and Gas Industry, Optimization and Engineering, Springer, 2015, DOI: 10.1007/s11081-015-9295-9. Preprint, Article
November 08, 2015, at 12:19 AM by 174.148.89.190 -
Deleted lines 38-43:
Upcoming
  1. Martin, R.A., Rojas, I., Lund, C., Reimschiissel, B., Farrell, R., Franke, K., Hedengren, J.D., Optimized Terrain Surveillance with UAV Flight Path Planning, Journal of Computing in Civil Engineering, submitted, 2015.
  2. Hedengren, J. D., Eaton, A. N., Overview of Estimation Methods for Industrial Dynamic Systems, Special Issue on Optimization in the Oil and Gas Industry, Optimization and Engineering, Springer, 2016, DOI: 10.1007/s11081-015-9295-9. Preprint
Added lines 40-41:
  1. Hedengren, J. D., Eaton, A. N., Overview of Estimation Methods for Industrial Dynamic Systems, Special Issue on Optimization in the Oil and Gas Industry, Optimization and Engineering, Springer, 2015, DOI: 10.1007/s11081-015-9295-9. Preprint Article
Changed line 43 from:
  1. Eaton, A. N., Hedengren, J. D., Overview of Estimation Methods for Industrial Dynamic Systems, Special Issue on Optimization in the Oil and Gas Industry, Optimization and Engineering, Springer, 2016, accepted. Preprint
to:
  1. Hedengren, J. D., Eaton, A. N., Overview of Estimation Methods for Industrial Dynamic Systems, Special Issue on Optimization in the Oil and Gas Industry, Optimization and Engineering, Springer, 2016, DOI: 10.1007/s11081-015-9295-9. Preprint
Changed line 61 from:
  1. Palmer, L.M., Franke, K.W., Martin, R.A., Sines, B.E., Rollins, K.M., and Hedengren, J.D., The Application and Accuracy of Structure from Motion Computer Vision Models with Full-Scale Geotechnical Field Tests. Proceedings, 2015 International Foundation Congress and Equipment Expo, Paper 301, ASCE, Reston, VA, 2015. Preprint
to:
  1. Palmer, L.M., Franke, K.W., Martin, R.A., Sines, B.E., Rollins, K.M., and Hedengren, J.D., The Application and Accuracy of Structure from Motion Computer Vision Models with Full-Scale Geotechnical Field Tests. Proceedings, 2015 International Foundation Congress and Equipment Expo, Paper 301, ASCE, IFCEE 2015, pp. 2432-2441, doi: 10.1061/9780784479087.225, Reston, VA, 2015. Preprint
Changed line 43 from:
  1. Eaton, A. N., Hedengren, J. D., Overview of Estimation Methods for Industrial Dynamic Systems, Special Issue on Optimization in the Oil and Gas Industry, Optimization and Engineering, Springer, 2015, submitted. Preprint
to:
  1. Eaton, A. N., Hedengren, J. D., Overview of Estimation Methods for Industrial Dynamic Systems, Special Issue on Optimization in the Oil and Gas Industry, Optimization and Engineering, Springer, 2016, accepted. Preprint
October 07, 2015, at 06:38 PM by 10.10.145.231 -
Changed line 47 from:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, SPE Journal, SPE-170962, 7 Oct 2015, DOI: 10.2118/170962-PA. Article
to:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, SPE Journal, SPE-170962, Published Online 7 Oct 2015, DOI: 10.2118/170962-PA. Article
October 07, 2015, at 06:37 PM by 10.10.145.231 -
Deleted lines 40-41:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, SPE Journal, SPE-170962, accepted for publication.
Added lines 46-47:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, SPE Journal, SPE-170962, 7 Oct 2015, DOI: 10.2118/170962-PA. Article
Changed line 14 from:
to:
Deleted lines 42-43:
  1. Sugiura, J., Samuel, R., Oppelt, J., Ostermeyer, G.P., Hedengren, J.D., and Pastusek, P., Drilling Modeling and Simulation: Current State and Future Goals, SPE Drilling & Completion Journal, submitted.
Changed line 59 from:
  1. Safdarnejad, S.M., Kennington, L., Baxter, L., Hedengren, J.D., Investigating the Impact of Cryogenic Carbon Capture on Power Plant Performance, American Control Conference, Chicago, July 2015, accepted. Preprint
to:
  1. Safdarnejad, S.M., Kennington, L., Baxter, L., Hedengren, J.D., Investigating the Impact of Cryogenic Carbon Capture on Power Plant Performance, American Control Conference, pp. 5016-5021, Chicago, IL, July 2015, DOI: 10.1109/ACC.2015.7172120. Preprint
Added lines 136-137:
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L., Dynamic Optimization of the Hybrid System of a Baseline Power Generation Unit and Cryogenic Carbon Capture, Western Section of the Combustion Institute, Fall 2015 Meeting, Provo, UT, October 5-6, 2015.
Changed line 53 from:
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, Vol. 78, pp. 39-50, DOI: 10.1016/j.compchemeng.2015.04.016. Article
to:
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, 2015, Vol. 78, pp. 39-50, DOI: 10.1016/j.compchemeng.2015.04.016. Article
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  1. Lewis, N.R., Hedengren, J.D., Haseltine, E.L., Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities, Special Issue on Algorithms and Applications in Dynamic Optimization, Processes, 2015, accepted.
to:
  1. Lewis, N.R., Hedengren, J.D., Haseltine, E.L., Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities, Special Issue on Algorithms and Applications in Dynamic Optimization, Processes, 2015, 3(3), 701-729; doi:10.3390/pr3030701. Article
Changed line 149 from:
  1. Sugiura, J., Samuel, R., Oppelt, J., Ostermeyer, G.P., Hedengren, J.D., and Pastusek, P., Drilling Modeling and Simulation: Current State and Future Goals, SPE IADC Drilling Conference and Exhibition, SPE-173045, 17-19 March 2015, UK, London. JPT Article Δ OnePetro Article
to:
  1. Sugiura, J., Samuel, R., Oppelt, J., Ostermeyer, G.P., Hedengren, J.D., and Pastusek, P., Drilling Modeling and Simulation: Current State and Future Goals, SPE IADC Drilling Conference and Exhibition, SPE-173045, 17-19 March 2015, UK, London. Article
Changed line 149 from:
  1. Sugiura, J., Samuel, R., Oppelt, J., Ostermeyer, G.P., Hedengren, J.D., and Pastusek, P., Drilling Modeling and Simulation: Current State and Future Goals, SPE IADC Drilling Conference and Exhibition, SPE-173045, 17-19 March 2015, UK, London.
to:
  1. Sugiura, J., Samuel, R., Oppelt, J., Ostermeyer, G.P., Hedengren, J.D., and Pastusek, P., Drilling Modeling and Simulation: Current State and Future Goals, SPE IADC Drilling Conference and Exhibition, SPE-173045, 17-19 March 2015, UK, London. JPT Article Δ OnePetro Article
Changed line 51 from:
  1. Lewis, N.R., Hedengren, J.D., Haseltine, E.L., Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities, Processes, Special Issue on Algorithms and Applications in Dynamic Optimization, 2015, accepted.
to:
  1. Lewis, N.R., Hedengren, J.D., Haseltine, E.L., Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities, Special Issue on Algorithms and Applications in Dynamic Optimization, Processes, 2015, accepted.
Added lines 50-51:
  1. Lewis, N.R., Hedengren, J.D., Haseltine, E.L., Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities, Processes, Special Issue on Algorithms and Applications in Dynamic Optimization, 2015, accepted.
August 25, 2015, at 08:44 PM by 10.5.113.136 -
Added lines 128-131:
2016
  1. Martin, R.M., Hall, A., Brinton, C., Franke, K., and Hedengren, J.D., Privacy Aware Mission Planning and Video Masking for UAV Systems, UMS-01, Unmanned Systems: Mission Management and Planning Technologies, Jan 4, 2016, AIAA Infotech at Aerospace, AIAA Science and Technology Forum and Exposition 2016, San Diego, California, USA, 4-8 Jan 2016.
July 25, 2015, at 03:42 AM by 174.148.248.69 -
Added lines 134-135:
  1. Safdarnejad, M., Gallacher, J., Hedengren, J.D., Baxter, L.B., A New Framework for Dynamic Parameter Estimation and Optimization of Batch Distillation Columns, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract
July 17, 2015, at 04:38 AM by 66.87.127.174 -
Changed line 131 from:
  1. Eaton, A.S., Beal, L., Janis, E., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Bjørkevoll, K., Addressing Control Challenges of Discontinuous Processes with Multi-Fidelity Model Predictive Control, Modeling, Control and Optimization of Energy Systems II, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract
to:
  1. Eaton, A.N., Beal, L., Janis, E., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Bjørkevoll, K., Addressing Control Challenges of Discontinuous Processes with Multi-Fidelity Model Predictive Control, Modeling, Control and Optimization of Energy Systems II, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract
July 15, 2015, at 07:15 PM by 174.148.95.4 -
Added lines 131-132:
  1. Eaton, A.S., Beal, L., Janis, E., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Bjørkevoll, K., Addressing Control Challenges of Discontinuous Processes with Multi-Fidelity Model Predictive Control, Modeling, Control and Optimization of Energy Systems II, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract
Changed line 137 from:
  1. Eaton, A., Beal, L., Thorpe, S.D., Janis, E.H., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., El Boubsi, R., Braaksma, J., and van Og, G., Ensemble Model Predictive Control for Robust Automated Managed Pressure Drilling, SPE Annual Technical Conference and Exhibition (ATCE), SPE-174969-MS, Houston, TX: 28-30 Sept 2015.
to:
  1. Eaton, A., Beal, L., Thorpe, S.D., Janis, E.H., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Bjørkevoll, K., El Boubsi, R., Braaksma, J., and van Og, G., Ensemble Model Predictive Control for Robust Automated Managed Pressure Drilling, SPE Annual Technical Conference and Exhibition (ATCE), SPE-174969-MS, Houston, TX: 28-30 Sept 2015.
July 14, 2015, at 02:27 PM by 10.5.113.160 -
Changed lines 39-40 from:
2015
to:
Upcoming
Deleted lines 42-45:
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, Vol. 78, pp. 39-50, DOI: 10.1016/j.compchemeng.2015.04.016. Article
  2. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Plant-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power Sources, Applied Energy Journal, Vol. 149, pp. 354-366, 2015, DOI: 10.1016/j.apenergy.2015.03.100 Article
Added lines 45-54:
  1. Martin, R.A., Rojas, I., Lund, C., Reimschiissel, B., Farrell, R., Franke, K., Hedengren, J.D., Optimized Terrain Surveillance with UAV Flight Path Planning, Journal of Computing in Civil Engineering, submitted, 2015.
  2. Eaton, A. N., Hedengren, J. D., Overview of Estimation Methods for Industrial Dynamic Systems, Special Issue on Optimization in the Oil and Gas Industry, Optimization and Engineering, Springer, 2015, submitted. Preprint
2015
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, Vol. 78, pp. 39-50, DOI: 10.1016/j.compchemeng.2015.04.016. Article
  2. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Plant-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power Sources, Applied Energy Journal, Vol. 149, pp. 354-366, 2015, DOI: 10.1016/j.apenergy.2015.03.100 Article
Deleted lines 56-57:
  1. Rojas, I., Martin, R.A., Lund, C., Reimschiissel, B., Farrell, R., Franke, K., Hedengren, J.D., Optimized Terrain Surveillance with UAV Flight Path Planning, Journal of Computing in Civil Engineering, submitted, 2015.
Deleted lines 75-76:
  1. Hedengren, J. D., Advanced Process Monitoring, Chapter accepted to Optimization and Analytics in the Oil and Gas Industry, Eds. Kevin C. Furman, Jin-Hwa Song, Amr El-Bakry, Springer’s International Series in Operations Research and Management Science, 2014. Preprint
July 14, 2015, at 02:14 PM by 10.5.113.160 -
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  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, Vol. 78, pp. 39-50, DOI: 10.1016/j.compchemeng.2015.04.016. Article (Free Download until July 5, 2015)
to:
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, Vol. 78, pp. 39-50, DOI: 10.1016/j.compchemeng.2015.04.016. Article
July 12, 2015, at 03:48 AM by 45.56.3.184 -
Added lines 128-131:
  1. Park, J., Safdarnejad, M., Asgharzadeh Shishavan, R., Hedengren, J.D., Rastegar, R., Snell, A., Nonlinear Model Predictive Control of Managed Pressure Drilling Based on Hammerstein-Wiener Piecewise Linear Models, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract
  2. Safdarnejad, M., Hedengren, J.D., Baxter, L.B., Reduction in Cycling of the Boilers By Using Large-Scale Energy Storage of Cryogenic Carbon Capture, AIChE Annual Meeting, Salt Lake City, UT, Nov 2015. Abstract
June 26, 2015, at 06:37 PM by 45.56.3.184 -
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  1. Eaton, A., Hedengren, J.D., Nybø, R., Aghito, M., El Boubsi, R., Braaksma, J., and van Og, G., Model Redundancy for Data Validation in Automated Managed Pressure Drilling, SPE Annual Technical Conference and Exhibition (ATCE), SPE-174969-MS, Houston, TX: 28-30 Sept 2015.
to:
  1. Eaton, A., Beal, L., Thorpe, S.D., Janis, E.H., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., El Boubsi, R., Braaksma, J., and van Og, G., Ensemble Model Predictive Control for Robust Automated Managed Pressure Drilling, SPE Annual Technical Conference and Exhibition (ATCE), SPE-174969-MS, Houston, TX: 28-30 Sept 2015.
June 14, 2015, at 06:41 AM by 45.56.3.184 -
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  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Plant-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power Sources, Applied Energy Journal, Vol. 149, pp. 354-366, 2015, DOI: 10.1016/j.apenergy.2015.03.100 Article (Free Download until June 4, 2015)
to:
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Plant-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power Sources, Applied Energy Journal, Vol. 149, pp. 354-366, 2015, DOI: 10.1016/j.apenergy.2015.03.100 Article
June 14, 2015, at 06:40 AM by 45.56.3.184 -
Added lines 40-41:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, SPE Journal, SPE-170962, accepted for publication.
May 26, 2015, at 11:26 PM by 184.226.45.213 -
Changed line 57 from:
  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Volume 263, 1 March 2015, Pages 268–279, ISSN 1385-8947, http://dx.doi.org/10.1016/j.cej.2014.10.108. Article
to:
  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Volume 263, 1 March 2015, Pages 268–279, ISSN 1385-8947, doi: 10.1016/j.cej.2014.10.108. Article
May 26, 2015, at 11:25 PM by 184.226.45.213 -
May 16, 2015, at 01:46 PM by 45.56.3.184 -
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  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, Vol. 78, pp. 39-50, DOI: 10.1016/j.compchemeng.2015.04.016. Article (Free Download until July 5, 2015
to:
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, Vol. 78, pp. 39-50, DOI: 10.1016/j.compchemeng.2015.04.016. Article (Free Download until July 5, 2015)
May 16, 2015, at 01:43 PM by 45.56.3.184 -
Added lines 41-42:
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, Vol. 78, pp. 39-50, DOI: 10.1016/j.compchemeng.2015.04.016. Article (Free Download until July 5, 2015
Deleted lines 43-44:
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, DOI: 10.1016/j.compchemeng.2015.04.016. Article
May 13, 2015, at 06:55 AM by 45.56.3.184 -
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  1. Eaton, A., Hedengren, J.D., Nybø, R., Aghito, M., El Boubsi, R., Braaksma, J., and van Og, G., Model Redundancy for Data Validation in Automated Managed Pressure Drilling, SPE Annual Technical Conference and Exhibition (ATCE), Houston, TX: 28-30 Sept 2015.
to:
  1. Eaton, A., Hedengren, J.D., Nybø, R., Aghito, M., El Boubsi, R., Braaksma, J., and van Og, G., Model Redundancy for Data Validation in Automated Managed Pressure Drilling, SPE Annual Technical Conference and Exhibition (ATCE), SPE-174969-MS, Houston, TX: 28-30 Sept 2015.
May 13, 2015, at 06:36 AM by 45.56.3.184 -
Added lines 127-128:
  1. Eaton, A., Hedengren, J.D., Nybø, R., Aghito, M., El Boubsi, R., Braaksma, J., and van Og, G., Model Redundancy for Data Validation in Automated Managed Pressure Drilling, SPE Annual Technical Conference and Exhibition (ATCE), Houston, TX: 28-30 Sept 2015.
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May 13, 2015, at 04:43 AM by 45.56.3.184 -
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  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Drilling & Completion Journal, SPE-170275-PA, 5 March 2015. Article
to:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Drilling & Completion Journal, SPE-170275-PA, 30 (1), pp. 17-26, 5 March 2015. Article
April 27, 2015, at 05:15 PM by 10.5.113.179 -
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  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, DOI: 10.1016/j.compchemeng.2015.04.016, accepted.
to:
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, DOI: 10.1016/j.compchemeng.2015.04.016. Article
April 19, 2015, at 04:29 AM by 45.56.12.124 -
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  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, accepted.
to:
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, DOI: 10.1016/j.compchemeng.2015.04.016, accepted.
April 15, 2015, at 05:33 PM by 10.5.113.179 -
Changed lines 41-43 from:
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, submitted.
  2. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Plant-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power Sources, Applied Energy Journal, accepted, DOI: 10.1016/j.apenergy.2015.03.100
to:
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Plant-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power Sources, Applied Energy Journal, Vol. 149, pp. 354-366, 2015, DOI: 10.1016/j.apenergy.2015.03.100 Article (Free Download until June 4, 2015)
  2. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, accepted.
April 11, 2015, at 04:27 PM by 45.56.12.124 -
Added lines 40-41:
  1. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, submitted.
March 31, 2015, at 02:53 PM by 45.56.12.124 -
Changed line 41 from:
  1. Safdarnejad, S.M., Hedengren, J.D., and Baxter, L.L., Grid-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power Sources, Applied Energy, 2015, submitted.
to:
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Plant-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power Sources, Applied Energy Journal, accepted, DOI: 10.1016/j.apenergy.2015.03.100
March 14, 2015, at 03:50 AM by 45.56.12.124 -
Changed line 51 from:
  1. Safdarnejad, S.M., Kennington, L., Baxter, L., Hedengren, J.D., Investigating the Impact of Cryogenic Carbon Capture on Power Plant Performance, American Control Conference, Chicago, July 2015, submitted. Preprint
to:
  1. Safdarnejad, S.M., Kennington, L., Baxter, L., Hedengren, J.D., Investigating the Impact of Cryogenic Carbon Capture on Power Plant Performance, American Control Conference, Chicago, July 2015, accepted. Preprint
March 05, 2015, at 06:31 PM by 10.5.113.153 -
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  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Drilling & Completion Journal, SPE-170275-PA.
to:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Drilling & Completion Journal, SPE-170275-PA, 5 March 2015. Article
Changed lines 125-126 from:
  1. Franke, K, Hedengren, J.D. and Farrell, R., UAS-Based Infrastructure Monitoring, Center for Unmanned Aircraft Systems (C-UAS), Arlington, VA, Feb 2015.
to:
  1. Franke, K, Hedengren, J.D. and Farrell, R., UAS-Based Infrastructure Monitoring, Center for Unmanned Aircraft Systems (C-UAS), Arlington, VA, Feb 2015. Presentation
Changed lines 134-135 from:
  1. Franke, K, Hedengren, J.D. and Farrell, R., LiDAR-like Accuracy with Photogrammetric Methods for Infrastructure Monitoring, Center for Unmanned Aircraft Systems (C-UAS), Snowbird, UT, Aug 2014. Presentation
to:
  1. Franke, K, Hedengren, J.D. and Farrell, R., LiDAR-like Accuracy with Photogrammetric Methods for Infrastructure Monitoring, Center for Unmanned Aircraft Systems (C-UAS), Snowbird, UT, Aug 2014.
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  1. Franke, K, Hedengren, J.D. and Farrell, R., UAS-Based Infrastructure Monitoring, Center for Unmanned Aircraft Systems (C-UAS), Arlington, VA, Feb 2015.
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  1. Franke, K, Hedengren, J.D. and Farrell, R., LiDAR-like Accuracy with Photogrammetric Methods for Infrastructure Monitoring, Center for Unmanned Aircraft Systems (C-UAS), Snowbird, UT, Aug 2014.
to:
  1. Franke, K, Hedengren, J.D. and Farrell, R., LiDAR-like Accuracy with Photogrammetric Methods for Infrastructure Monitoring, Center for Unmanned Aircraft Systems (C-UAS), Snowbird, UT, Aug 2014. Presentation
Added lines 124-125:
  1. Sugiura, J., Samuel, R., Oppelt, J., Ostermeyer, G.P., Hedengren, J.D., and Pastusek, P., Drilling Modeling and Simulation: Current State and Future Goals, SPE IADC Drilling Conference and Exhibition, SPE-173045, 17-19 March 2015, UK, London.
Changed line 49 from:
  1. Eaton, A., Safdarnejad, S.M., Hedengren, J.D., Moffat, K., Hubbell, C., Brower, D.V., Brower, A.D., Post-Installed Fiber Optic Pressure Sensors on Subsea Production Risers for Severe Slugging Control, ASME 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/42196, St. John's, Newfoundland, Canada, June 2015, submitted. Preprint
to:
  1. Eaton, A., Safdarnejad, S.M., Hedengren, J.D., Moffat, K., Hubbell, C., Brower, D.V., Brower, A.D., Post-Installed Fiber Optic Pressure Sensors on Subsea Production Risers for Severe Slugging Control, ASME 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/42196, St. John's, Newfoundland, Canada, June 2015. Preprint
January 17, 2015, at 11:57 PM by 107.188.175.164 -
Deleted lines 51-52:
  1. Nikbakhsh, S. and Hedengren, J.D., Optimal Control of a Batch Distillation Column Using a Pseudo-Closed Loop Approach, American Control Conference, Chicago, July 2015, submitted.
Added lines 124-127:
2015
  1. Safdarnejad, S.M., Hedengren, J.D., Baxter, L., Effect of Cryogenic Carbon Capture (CCC) on Smart Power Grids, AIChE Spring Meeting, Austin, TX, April 2015. Abstract
Changed lines 41-42 from:
  1. Safdarnejad, S.M., Hedengren, J.D., and Baxter, L.L., Grid-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power

Sources, Applied Energy, 2015, submitted.

to:
  1. Safdarnejad, S.M., Hedengren, J.D., and Baxter, L.L., Grid-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power Sources, Applied Energy, 2015, submitted.
Added lines 38-40:
  1. Safdarnejad, S.M., Hedengren, J.D., and Baxter, L.L., Grid-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power

Sources, Applied Energy, 2015, submitted.

Changed line 133 from:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, SPE Annual Technical Conference and Exhibition (ATCE), Amsterdam, The Netherlands: 27-29 Oct 2014.
to:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, SPE Annual Technical Conference and Exhibition (ATCE), Amsterdam, The Netherlands: 27-29 Oct 2014. Article
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  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Deepwater Drilling and Completions Conference, Galveston, TX: 10-11 Sept 2014.
to:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Deepwater Drilling and Completions Conference, Galveston, TX: 10-11 Sept 2014. Article
January 13, 2015, at 06:53 PM by 174.148.52.53 -
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  1. Nikbakhsh, S. and Hedengren, J.D., Optimal Control of a Batch Distillation Column Using a Pseudo-Closed Loop Approach, American Control Conference, Chicago, July 2015, submitted. Preprint Δ
to:
  1. Nikbakhsh, S. and Hedengren, J.D., Optimal Control of a Batch Distillation Column Using a Pseudo-Closed Loop Approach, American Control Conference, Chicago, July 2015, submitted.
Changed line 43 from:
  1. Rojas, I., Martin, R.A., Lund, C., Reimschiissel, B., Price, T., Romero, Z., Pulsipher, J., Farrell, R., Franke, K., Hedengren, J.D., Optimized Terrain Surveillance with UAV Flight Path Planning, Control Engineering Practice, submitted, 2015.
to:
  1. Rojas, I., Martin, R.A., Lund, C., Reimschiissel, B., Farrell, R., Franke, K., Hedengren, J.D., Optimized Terrain Surveillance with UAV Flight Path Planning, Journal of Computing in Civil Engineering, submitted, 2015.
Changed line 51 from:
  1. Palmer, L.M., Franke, K.W., Martin, R.A., Sines, B.E., Rollins, K.M., and Hedengren, J.D., Application and accuracy of structure from motion computer vision models with full-scale geotechnical field tests. Proceedings, 2015 International Foundation Congress and Equipment Expo, Paper 301, ASCE, Reston, VA, 2015. Preprint
to:
  1. Palmer, L.M., Franke, K.W., Martin, R.A., Sines, B.E., Rollins, K.M., and Hedengren, J.D., The Application and Accuracy of Structure from Motion Computer Vision Models with Full-Scale Geotechnical Field Tests. Proceedings, 2015 International Foundation Congress and Equipment Expo, Paper 301, ASCE, Reston, VA, 2015. Preprint
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Added lines 53-54:
  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Volume 263, 1 March 2015, Pages 268–279, ISSN 1385-8947, http://dx.doi.org/10.1016/j.cej.2014.10.108. Article
Deleted lines 55-56:
  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Volume 263, 1 March 2015, Pages 268–279, ISSN 1385-8947, http://dx.doi.org/10.1016/j.cej.2014.10.108. Article
December 29, 2014, at 02:25 PM by 107.188.175.164 -
Changed line 55 from:
  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Available online 8 November 2014, ISSN 1385-8947, http://dx.doi.org/10.1016/j.cej.2014.10.108. Article
to:
  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Volume 263, 1 March 2015, Pages 268–279, ISSN 1385-8947, http://dx.doi.org/10.1016/j.cej.2014.10.108. Article
Changed line 43 from:

Rojas, I., Martin, R.A., Lund, C., Reimschiissel, B., Price, T., Romero, Z., Pulsipher, J., Farrell, R., Franke, K., Hedengren, J.D., Optimized Terrain Surveillance with UAV Flight Path Planning, Control Engineering Practice, submitted, 2015.

to:
  1. Rojas, I., Martin, R.A., Lund, C., Reimschiissel, B., Price, T., Romero, Z., Pulsipher, J., Farrell, R., Franke, K., Hedengren, J.D., Optimized Terrain Surveillance with UAV Flight Path Planning, Control Engineering Practice, submitted, 2015.
Changed line 43 from:
  1. Rojas, I., Martin, R.A., Lund, C., Reimschiissel, B., Farrell, R., Franke, K., Hedengren, J.D., Optimized Photogrammetric Network Design with Flight Path Planner for UAV Based Terrain Surveillance, Computers & Operations Research, submitted, 2015.
to:

Rojas, I., Martin, R.A., Lund, C., Reimschiissel, B., Price, T., Romero, Z., Pulsipher, J., Farrell, R., Franke, K., Hedengren, J.D., Optimized Terrain Surveillance with UAV Flight Path Planning, Control Engineering Practice, submitted, 2015.

December 21, 2014, at 07:19 AM by 107.188.175.164 -
Changed line 43 from:
  1. Rojas, I., Martin, R.A., Lund, C., Reimschiissel, B., Farrell, R., Franke, K., Hedengren, J.D., Optimized Photogrammetric Network Design with Flight Path Planner for UAV Based Terrain Surveillance, in preparation, 2015.
to:
  1. Rojas, I., Martin, R.A., Lund, C., Reimschiissel, B., Farrell, R., Franke, K., Hedengren, J.D., Optimized Photogrammetric Network Design with Flight Path Planner for UAV Based Terrain Surveillance, Computers & Operations Research, submitted, 2015.
December 18, 2014, at 06:08 AM by 107.188.175.164 -
Changed line 101 from:
  1. Hedengren, J.D. Allsford, K.V., and Ramlal, J., Moving Horizon Estimation and Control for an Industrial Gas Phase Polymerization Reactor, Proceedings of the American Control Conference (ACC), New York, NY, July 2007. Preprint
to:
  1. Hedengren, J.D. Allsford, K.V., and Ramlal, J., Moving Horizon Estimation and Control for an Industrial Gas Phase Polymerization Reactor, Proceedings of the American Control Conference (ACC), New York, NY, pp. 1353-1358, July 2007. Preprint
December 18, 2014, at 05:59 AM by 107.188.175.164 -
Changed line 117 from:
  1. Hedengren, J. D. and Edgar, T. F., In Situ Adaptive Tabulation for Real-time Control, Proceedings of the American Control Conference (ACC), Boston, MA, July 2004. Preprint | Presentation
to:
  1. Hedengren, J. D. and Edgar, T. F., In Situ Adaptive Tabulation for Real-time Control, Proceedings of the American Control Conference (ACC), Boston, MA, pp. 2222-2227, July 2004. Preprint | Presentation
Changed lines 39-41 from:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Drilling & Completion, SPE-170275-PA.
to:
  1. Sugiura, J., Samuel, R., Oppelt, J., Ostermeyer, G.P., Hedengren, J.D., and Pastusek, P., Drilling Modeling and Simulation: Current State and Future Goals, SPE Drilling & Completion Journal, submitted.
  2. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Drilling & Completion Journal, SPE-170275-PA.
Deleted lines 37-38:
  1. Eaton, A., Safdarnejad, S.M., Hedengren, J.D., Moffat, K., Hubbell, C., Brower, D.V., Brower, A.D., Post-Installed Fiber Optic Pressure Sensors on Subsea Production Risers for Severe Slugging Control,
Added lines 39-40:
  1. Eaton, A., Safdarnejad, S.M., Hedengren, J.D., Moffat, K., Hubbell, C., Brower, D.V., Brower, A.D., Post-Installed Fiber Optic Pressure Sensors on Subsea Production Risers for Severe Slugging Control,
Changed line 45 from:
  1. Eaton, A., Hedengren, J.D., Brower, D.V., Brower, A.D., Post-Installed Fiber Optic Pressure Sensors on Subsea Production Risers for Severe Slugging Control, ASME 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/42196, St. John's, Newfoundland, Canada, June 2015, submitted.
to:
  1. Eaton, A., Safdarnejad, S.M., Hedengren, J.D., Moffat, K., Hubbell, C., Brower, D.V., Brower, A.D., Post-Installed Fiber Optic Pressure Sensors on Subsea Production Risers for Severe Slugging Control, ASME 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/42196, St. John's, Newfoundland, Canada, June 2015, submitted. Preprint
December 11, 2014, at 06:37 AM by 107.188.175.164 -
Added lines 40-41:
  1. Rojas, I., Martin, R.A., Lund, C., Reimschiissel, B., Farrell, R., Franke, K., Hedengren, J.D., Optimized Photogrammetric Network Design with Flight Path Planner for UAV Based Terrain Surveillance, in preparation, 2015.
December 08, 2014, at 03:33 PM by 107.188.175.164 -
Added lines 13-14:
December 01, 2014, at 02:22 PM by 107.188.175.164 -
Changed line 22 from:
  • APMonitor Software: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award.
to:
  • APMonitor Software: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award (Citation).
November 30, 2014, at 11:39 PM by 107.188.175.164 -
Added lines 36-37:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Drilling & Completion, SPE-170275-PA.
November 19, 2014, at 12:49 PM by 71.56.119.217 -
Changed lines 22-23 from:
  • Nonlinear Model Library: One of the major bottlenecks to improved nonlinear Model Predictive Control (Nonlinear MPC) and Real-time Optimization (RTO) is the lack of reliable first-principles or hybrid models. This nonlinear model library is a collaborative platform where chemical process models can be documented and shared.
to:
  • APMonitor Software: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award.
Changed line 31 from:
  • APMonitor Software: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award.
to:
  • Nonlinear Model Library: One of the major bottlenecks to improved nonlinear Model Predictive Control (Nonlinear MPC) and Real-time Optimization (RTO) is the lack of reliable first-principles or hybrid models. This nonlinear model library is a collaborative platform where chemical process models can be documented and shared.
November 19, 2014, at 12:48 PM by 71.56.119.217 -
Changed line 31 from:
  • APMonitor Software: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications.
to:
  • APMonitor Software: Advanced Process Monitoring (APM) is a software platform to solve large-scale Differential and Algebraic Equation (DAE) models in simulation, process control, and optimization applications. Recipient of the 2014 AIChE David Himmelblau Award.
November 18, 2014, at 05:35 PM by 173.125.73.68 -
Changed line 117 from:
  1. Asgharzadeh Shishavan, R., Perez, H., and Hedengren, J.D., Multivariate nonlinear model predictive controller for managed drilling processes, AIChE Annual Meeting, Atlanta, GA, Nov 2014. Abstract
to:
  1. Asgharzadeh Shishavan, R., Perez, H., and Hedengren, J.D., Multivariate nonlinear model predictive controller for managed drilling processes, AIChE Annual Meeting, Atlanta, GA, Nov 2014. Abstract Presentation
Changed line 57 from:
  1. Sun, L., Castagno, J., Hedengren, J. D., and Beard, R. W., "Real-Time Parameter Estimation for Towed Cable Systems Using Moving Horizon Estimation", IEEE Transactions on Aerospace and Electronic Systems, in press, 2014. Preprint
to:
  1. Sun, L., Castagno, J., Hedengren, J. D., and Beard, R. W., Parameter Estimation for Towed Cable Systems Using Moving Horizon Estimation, IEEE Transactions on Aerospace and Electronic Systems, in press, 2014. Preprint
Changed line 47 from:
  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Available online 8 November 2014, ISSN 1385-8947, http://dx.doi.org/10.1016/j.cej.2014.10.108. | Article
to:
  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Available online 8 November 2014, ISSN 1385-8947, http://dx.doi.org/10.1016/j.cej.2014.10.108. Article
Deleted lines 36-37:
  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Submitted to Chemical Engineering Journal, 2015.
Added lines 46-47:
  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Available online 8 November 2014, ISSN 1385-8947, http://dx.doi.org/10.1016/j.cej.2014.10.108. | Article
Changed line 45 from:
  1. Palmer, L.M., Franke, K.W., Martin, R.A., Sines, B.E., Rollins, K.M., and Hedengren, J.D. (2015). Application and accuracy of structure from motion computer vision models with full-scale geotechnical field tests. Proceedings, 2015 International Foundation Congress and Equipment Expo, Paper 301, ASCE, Reston, VA. Preprint
to:
  1. Palmer, L.M., Franke, K.W., Martin, R.A., Sines, B.E., Rollins, K.M., and Hedengren, J.D., Application and accuracy of structure from motion computer vision models with full-scale geotechnical field tests. Proceedings, 2015 International Foundation Congress and Equipment Expo, Paper 301, ASCE, Reston, VA, 2015. Preprint
Added lines 44-45:
  1. Palmer, L.M., Franke, K.W., Martin, R.A., Sines, B.E., Rollins, K.M., and Hedengren, J.D. (2015). Application and accuracy of structure from motion computer vision models with full-scale geotechnical field tests. Proceedings, 2015 International Foundation Congress and Equipment Expo, Paper 301, ASCE, Reston, VA. Preprint
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Added lines 112-113:
  1. Franke, K, Hedengren, J.D. and Farrell, R., LiDAR-like Accuracy with Photogrammetric Methods for Infrastructure Monitoring, Center for Unmanned Aircraft Systems (C-UAS), Snowbird, UT, Aug 2014.
October 01, 2014, at 10:34 AM by 107.188.175.164 -
Changed line 55 from:
  1. Sun, L., Castagno, J., Hedengren, J. D., and Beard, R. W., "Real-Time Parameter Estimation for Towed Cable Systems Using Moving Horizon Estimation", IEEE Transactions on Aerospace and Electronic Systems, in review, 2014. Preprint
to:
  1. Sun, L., Castagno, J., Hedengren, J. D., and Beard, R. W., "Real-Time Parameter Estimation for Towed Cable Systems Using Moving Horizon Estimation", IEEE Transactions on Aerospace and Electronic Systems, in press, 2014. Preprint
September 27, 2014, at 02:38 AM by 107.188.175.164 -
Changed lines 41-43 from:
  1. Safdarnejad, S.M., Kennington, L., Baxter, L., Hedengren, J.D., Investigating the impact of Cryogenic Carbon Capture on power plant performance, American Control Conference, Chicago, July 2015, submitted. Preprint
to:
  1. Safdarnejad, S.M., Kennington, L., Baxter, L., Hedengren, J.D., Investigating the Impact of Cryogenic Carbon Capture on Power Plant Performance, American Control Conference, Chicago, July 2015, submitted. Preprint
  2. Nikbakhsh, S. and Hedengren, J.D., Optimal Control of a Batch Distillation Column Using a Pseudo-Closed Loop Approach, American Control Conference, Chicago, July 2015, submitted. Preprint Δ
Changed line 41 from:
  1. Safdarnejad, S.M., Kennington, L., Baxter, L., Hedengren, J.D., Investigating the impact of Cryogenic Carbon Capture on power plant performance, American Control Conference, Chicago, July 2015, submitted.
to:
  1. Safdarnejad, S.M., Kennington, L., Baxter, L., Hedengren, J.D., Investigating the impact of Cryogenic Carbon Capture on power plant performance, American Control Conference, Chicago, July 2015, submitted. Preprint
Added lines 40-41:
  1. Safdarnejad, S.M., Kennington, L., Baxter, L., Hedengren, J.D., Investigating the impact of Cryogenic Carbon Capture on power plant performance, American Control Conference, Chicago, July 2015, submitted.
Added lines 38-39:
  1. Eaton, A., Hedengren, J.D., Brower, D.V., Brower, A.D., Post-Installed Fiber Optic Pressure Sensors on Subsea Production Risers for Severe Slugging Control, ASME 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/42196, St. John's, Newfoundland, Canada, June 2015, submitted.
Changed line 53 from:
  1. Hedengren, J. D. and Asgharzadeh Shishavan, R., Powell, K.M., and Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Computers and Chemical Engineering, accepted for publication, 2014, DOI: 10.1016/j.compchemeng.2014.04.013. Preprint Article
to:
  1. Hedengren, J. D. and Asgharzadeh Shishavan, R., Powell, K.M., and Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Computers and Chemical Engineering, Volume 70, pg. 133–148, 2014, DOI: 10.1016/j.compchemeng.2014.04.013. Preprint Article
Changed line 37 from:

Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Submitted to Chemical Engineering Journal, 2015.

to:
  1. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Submitted to Chemical Engineering Journal, 2015.
Added lines 34-37:
2015

Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Submitted to Chemical Engineering Journal, 2015.

July 31, 2014, at 03:56 PM by 174.148.144.243 -
Changed line 43 from:
  1. Powell, K.M., Hedengren, J.D., and Edgar, T.F., "Dynamic Optimization of a Hybrid Solar Thermal and Fossil Fuel System", Solar Energy, accepted for publication, 2014.
to:
  1. Powell, K.M., Hedengren, J.D., and Edgar, T.F., "Dynamic Optimization of a Hybrid Solar Thermal and Fossil Fuel System", Solar Energy, DOI: 10.1016/j.solener.2014.07.004, Vol. 108, pp. 210–218, 2014. Article
July 08, 2014, at 02:03 PM by 107.188.175.164 -
Added lines 42-43:
  1. Powell, K.M., Hedengren, J.D., and Edgar, T.F., "Dynamic Optimization of a Hybrid Solar Thermal and Fossil Fuel System", Solar Energy, accepted for publication, 2014.
July 02, 2014, at 05:06 PM by 10.5.113.211 -
Changed line 25 from:
  • Biological Modeling with SBML
to:
  • Drilling Automation
Changed lines 28-29 from:
  • Friction Stir Welding
  • Unmanned Aerial Vehicle Control
to:
  • Systems Biology
  • Unmanned Aerial Systems
July 01, 2014, at 12:00 AM by 107.188.175.164 -
Changed line 105 from:
  1. Safdarnejad, S.M., Hall, T., Hedengren, J.D., Baxter, L., Dynamic Optimization of Cryogenic Carbon Capture with Large-scale Adoption of Renewable Power, AIChE Annual Meeting, Atlanta, GA, Nov 2014. Abstract
to:
  1. Safdarnejad, S.M., Hall, T., Hedengren, J.D., Baxter, L., Dynamic Optimization of Cryogenic Carbon Capture with Large-scale Adoption of Renewable Power, AIChE Annual Meeting, Atlanta, GA, Nov 2014. Abstract
June 30, 2014, at 11:58 PM by 107.188.175.164 -
Added lines 100-105:
  1. Asgharzadeh Shishavan, R., Perez, H., and Hedengren, J.D., Multivariate nonlinear model predictive controller for managed drilling processes, AIChE Annual Meeting, Atlanta, GA, Nov 2014. Abstract
  2. Nikbakhsh, S. and Hedengren, J.D., Genetic fuzzy decoupling of nonlinear multiple-input multiple-output processes, AIChE Annual Meeting, Atlanta, GA, Nov 2014. Abstract
  3. Safdarnejad, S.M., Hall, T., Hedengren, J.D., Baxter, L., Dynamic Optimization of Cryogenic Carbon Capture with Large-scale Adoption of Renewable Power, AIChE Annual Meeting, Atlanta, GA, Nov 2014. Abstract
June 12, 2014, at 03:51 PM by 184.250.201.156 -
Changed lines 101-103 from:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, Amsterdam, The Netherlands: 27-29 Oct 2014.
to:
  1. Hedengren, J.D., Model Predictive Control in Drilling, SPE Annual Technical Conference and Exhibition (ATCE), Amsterdam, The Netherlands: 27-29 Oct 2014. Invited Session
  2. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, SPE Annual Technical Conference and Exhibition (ATCE), Amsterdam, The Netherlands: 27-29 Oct 2014.
June 12, 2014, at 02:58 PM by 184.250.201.156 -
Changed lines 101-103 from:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Deepwater Drilling and Completions Conference, Galveston, TX: 10 - 11 Sept 2014.
to:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, Amsterdam, The Netherlands: 27-29 Oct 2014.
  2. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Deepwater Drilling and Completions Conference, Galveston, TX: 10-11 Sept 2014.
June 12, 2014, at 02:39 PM by 184.250.201.156 -
Changed line 37 from:
  1. Asgharzadeh Shishavan, R., Brower, D.V., Hedengren, J.D., Brower, A.D., New Advances in Post-Installed Subsea Monitoring Systems for Structural and Flow Assurance Evaluation, ASME 33rd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/24300, San Francisco, CA, June 2014. Attach:Fiber_Optic_ATI_OMAE14_Presentation.pdf and Preprint
to:
  1. Asgharzadeh Shishavan, R., Brower, D.V., Hedengren, J.D., Brower, A.D., New Advances in Post-Installed Subsea Monitoring Systems for Structural and Flow Assurance Evaluation, ASME 33rd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/24300, San Francisco, CA, June 2014. Presentation and Preprint
June 12, 2014, at 02:38 PM by 184.250.201.156 -
Changed line 37 from:
  1. Asgharzadeh Shishavan, R., Brower, D.V., Hedengren, J.D., Brower, A.D., New Advances in Post-Installed Subsea Monitoring Systems for Structural and Flow Assurance Evaluation, ASME 33rd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/24300, San Francisco, CA, June 2014. Preprint
to:
  1. Asgharzadeh Shishavan, R., Brower, D.V., Hedengren, J.D., Brower, A.D., New Advances in Post-Installed Subsea Monitoring Systems for Structural and Flow Assurance Evaluation, ASME 33rd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/24300, San Francisco, CA, June 2014. Attach:Fiber_Optic_ATI_OMAE14_Presentation.pdf and Preprint
June 09, 2014, at 04:17 AM by 107.188.175.164 -
Changed lines 101-102 from:
  1. Asgharzadeh Shishsavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Deepwater Drilling and Completions Conference, Galveston, TX: 10 - 11 Sept 2014.
to:
  1. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Deepwater Drilling and Completions Conference, Galveston, TX: 10 - 11 Sept 2014.
Changed line 107 from:
  1. Pixton, D., Asgharzadeh Shishsavan, R., Hedengren, J.D., and Craig, A., Addressing UBO and MPD Challenges with Wired Drillpipe, SPE/IADC MPD & UBO Conference & Exhibition, Madrid, Spain: 8 - 9 Apr 2014. Article
to:
  1. Pixton, D., Asgharzadeh Shishavan, R., Hedengren, J.D., and Craig, A., Addressing UBO and MPD Challenges with Wired Drillpipe, SPE/IADC MPD & UBO Conference & Exhibition, Madrid, Spain: 8 - 9 Apr 2014. Article
June 09, 2014, at 04:11 AM by 107.188.175.164 -
Changed lines 101-102 from:
  1. Asgharzadeh Shishsavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure

Regulation for Drilling Optimization Using High Speed Telemetry, SPE Deepwater Drilling and Completions Conference, Galveston, TX: 10 - 11 Sept 2014.

to:
  1. Asgharzadeh Shishsavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Deepwater Drilling and Completions Conference, Galveston, TX: 10 - 11 Sept 2014.
June 09, 2014, at 04:10 AM by 107.188.175.164 -
Added lines 101-103:
  1. Asgharzadeh Shishsavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure

Regulation for Drilling Optimization Using High Speed Telemetry, SPE Deepwater Drilling and Completions Conference, Galveston, TX: 10 - 11 Sept 2014.

Changed lines 108-114 from:
  1. Pixton, D., Asgharzadeh Shishsavan, R., Hedengren, J.D., and Craig, A., Addressing UBO and MPD Challenges with Wired Drillpipe, Abstract accepted for presentation at SPE/IADC MPD & UBO Conference & Exhibition, Madrid, Spain: 8 - 9 Apr 2014. Article
  2. Asgharzadeh Shishavan, R. and Hedengren, J.D., Improved Estimator Insensitivity to Outliers, Measurement Drift, and Noise, AIChE Sring Meeting, New Orleans, LA, April 2014. Abstract
  3. Asgharzadeh Shishavan, R., Memmott, J.A., Hedengren, J.D., and Pixton, D., Pressure Regulation and Kick Attenuation with Wired Pipe Technology in Managed Pressure Drilling, AIChE Sring Meeting, New Orleans, LA, April 2014. Abstract
  4. Brower, D., Brower, A., Memmott, J.A., Asgharzadeh Shishavan, R., and Hedengren, J.D., Advanced Monitoring Systems on Existing Deepwater Infrastructure for Intelli-Field Advances, AIChE Sring Meeting, New Orleans, LA, April 2014. Abstract
to:
  1. Pixton, D., Asgharzadeh Shishsavan, R., Hedengren, J.D., and Craig, A., Addressing UBO and MPD Challenges with Wired Drillpipe, SPE/IADC MPD & UBO Conference & Exhibition, Madrid, Spain: 8 - 9 Apr 2014. Article
  2. Asgharzadeh Shishavan, R. and Hedengren, J.D., Improved Estimator Insensitivity to Outliers, Measurement Drift, and Noise, AIChE Spring Meeting, New Orleans, LA, April 2014. Abstract
  3. Asgharzadeh Shishavan, R., Memmott, J.A., Hedengren, J.D., and Pixton, D., Pressure Regulation and Kick Attenuation with Wired Pipe Technology in Managed Pressure Drilling, AIChE Spring Meeting, New Orleans, LA, April 2014. Abstract
  4. Brower, D., Brower, A., Memmott, J.A., Asgharzadeh Shishavan, R., and Hedengren, J.D., Advanced Monitoring Systems on Existing Deepwater Infrastructure for Intelli-Field Advances, AIChE Spring Meeting, New Orleans, LA, April 2014. Abstract
June 09, 2014, at 04:05 AM by 107.188.175.164 -
Deleted lines 36-37:
  1. Brower, D.V., Brower, A.D., Hedengren, J.D., Asgharzadeh Shishavan, R., A Post-Installed Subsea Monitoring System for Structural and Flow Assurance Evaluation, Offshore Technology Conference, OTC 25368, Houston, TX, June 2014. Preprint
Added lines 38-39:
  1. Brower, D.V., Brower, A.D., Hedengren, J.D., Asgharzadeh Shishavan, R., A Post-Installed Subsea Monitoring System for Structural and Flow Assurance Evaluation, Offshore Technology Conference, OTC 25368, Houston, TX, May 2014. Preprint
May 09, 2014, at 02:01 PM by 174.148.102.108 -
Changed line 47 from:
  1. Hedengren, J. D. and Asgharzadeh Shishavan, R., Powell, K.M., and Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Computers and Chemical Engineering, accepted for publication, 2014, DOI: 10.1016/j.compchemeng.2014.04.013. Preprint
to:
  1. Hedengren, J. D. and Asgharzadeh Shishavan, R., Powell, K.M., and Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Computers and Chemical Engineering, accepted for publication, 2014, DOI: 10.1016/j.compchemeng.2014.04.013. Preprint Article
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  1. Hedengren, J. D. and Asgharzadeh Shishavan, R., Powell, K.M., and Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Computers and Chemical Engineering, in press, 2014. Preprint
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  1. Hedengren, J. D. and Asgharzadeh Shishavan, R., Powell, K.M., and Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Computers and Chemical Engineering, accepted for publication, 2014, DOI: 10.1016/j.compchemeng.2014.04.013. Preprint
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  1. Pixton, D., Asgharzadeh Shishsavan, R., Hedengren, J.D., and Craig, A., Addressing UBO and MPD Challenges with Wired Drillpipe, Abstract accepted for presentation at SPE/IADC MPD & UBO Conference & Exhibition, Madrid, Spain: 8 - 9 Apr 2014. Conference Web-site
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  1. Pixton, D., Asgharzadeh Shishsavan, R., Hedengren, J.D., and Craig, A., Addressing UBO and MPD Challenges with Wired Drillpipe, Abstract accepted for presentation at SPE/IADC MPD & UBO Conference & Exhibition, Madrid, Spain: 8 - 9 Apr 2014. Article
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  1. Hedengren, J. D. and Asgharzadeh Shishavan, R., Powell, K.M., and Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Preprint submitted to Computers and Chemical Engineering, 2014. Preprint
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  1. Hedengren, J. D. and Asgharzadeh Shishavan, R., Powell, K.M., and Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Computers and Chemical Engineering, in press, 2014. Preprint
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  1. Asgharzadeh Shishavan, R., Brower, D.V., Hedengren, J.D., Brower, A.D., New Advances in Post-Installed Subsea Monitoring Systems for Structural and Flow Assurance Evaluation, OMAE2014/24300, San Francisco, CA, June 2014. Preprint
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  1. Brower, D.V., Brower, A.D., Hedengren, J.D., Asgharzadeh Shishavan, R., A Post-Installed Subsea Monitoring System for Structural and Flow Assurance Evaluation, Offshore Technology Conference, OTC 25368, Houston, TX, June 2014. Preprint
  2. Asgharzadeh Shishavan, R., Brower, D.V., Hedengren, J.D., Brower, A.D., New Advances in Post-Installed Subsea Monitoring Systems for Structural and Flow Assurance Evaluation, ASME 33rd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/24300, San Francisco, CA, June 2014. Preprint
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  1. Brower, D., Hedengren, J.D., Asgharzadeh Shishavan, R., and Brower, A., Advanced Deepwater Monitoring System, OMAE2013/10920, Nantes, France, June 2013, ISBN: 978-0-7918-5531-7. Preprint Presentation
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  1. Brower, D., Hedengren, J.D., Asgharzadeh Shishavan, R., and Brower, A., Advanced Deepwater Monitoring System, ASME 32st International Conference on Ocean, Offshore and Arctic Engineering, OMAE2013/10920, Nantes, France, June 2013, ISBN: 978-0-7918-5531-7. Preprint Presentation
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  1. Brower, D., Hedengren, J.D., Loegering, C., Brower, A., Witherow, K., and Winter, K., Fiber Optic Monitoring of Subsea Equipment, OMAE 2012, Rio de Janiero, Brazil, Volume 1: Offshore Technology, Number: 84143, pp. 769-776, June 2012. Preprint | Presentation
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  1. Brower, D., Hedengren, J.D., Loegering, C., Brower, A., Witherow, K., and Winter, K., Fiber Optic Monitoring of Subsea Equipment, ASME 31st International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2012, Rio de Janiero, Brazil, Volume 1: Offshore Technology, Number: 84143, pp. 769-776, June 2012. Preprint | Presentation