| Benchmark temperature microcontroller for process dynamics and control J Park, RA Martin, JD Kelly, JD Hedengren Computers & Chemical Engineering 135, 106736, 2020 | 81 | 2020 |
| Combined model predictive control and scheduling with dominant time constant compensation LDR Beal, J Park, D Petersen, S Warnick, JD Hedengren Computers & Chemical Engineering 104, 271-282, 2017 | 18 | 2017 |
| Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model J Park, C Price, D Pixton, M Aghito, R Nybø, K Bjørkevoll, JD Hedengren ISA transactions 105, 256-268, 2020 | 15 | 2020 |
| Improved bottomhole pressure control with wired drillpipe and physics-based models J Park, T Webber, RA Shishavan, JD Hedengren SPE/IADC Drilling Conference and Exhibition, D031S018R005, 2017 | 9 | 2017 |
| Deep transfer learning for approximate model predictive control SA Munoz, J Park, CM Stewart, AM Martin, JD Hedengren Processes 11 (1), 197, 2023 | 6 | 2023 |
| Simultaneous multistep transformer architecture for model predictive control J Park, MR Babaei, SA Munoz, AN Venkat, JD Hedengren Computers & Chemical Engineering 178, 108396, 2023 | 4 | 2023 |
| Closed-Loop PID Re-Tuning in a Digital Twin By Re-Playing Past Setpoint and Load Disturbance Data J Park, C Patterson, J Kelly, JD Hedengren Proceedings of the AIChE Spring Meeting, New Orleans, LA, USA 31, 2019 | 4 | 2019 |
| Nonlinear Model Predictive Control for a Managed Pressure Drilling with High-Fidelity Drilling Simulators J Park Brigham Young University, 2018 | 4 | 2018 |
| Robust PID controller design of time delay processes with/without zero M Shamsuzzoha, M Lee, J Park 2006 IEEE International Conference on Industrial Technology, 2256-2261, 2006 | 3 | 2006 |
| IMC based method for control system design of PID cascaded filter M Shamsuzzoha, J Park, M Lee Theories and Applications of Chemical Engineering 12, 111-114, 2006 | 3 | 2006 |
| PID controller design for unstable process with negative/positive zero M Shamsuzzoha, J Park, M Lee Theory and Applications of Chem. Eng.(Korea) 12 (2), 1474-1477, 2006 | 2 | 2006 |
| Hybrid Machine Learning and Physics-Based Modeling Approaches for Process Control and Optimization J Park Brigham Young University, 2022 | 1 | 2022 |
| Use of Nonlinear and Machine Learning Techniques for Improved APC Modeling J Park, B Hansen, N Gates, M Darby, J Hedengren 2019 Spring Meeting and 15th Global Congress on Process Safety, 2019 | | 2019 |
| Nonlinear Model Predictive Control of Managed Pressure Drilling based on Hammerstein-Wiener piecewise linear models J Park AIChE Annual Meeting, 2015 | | 2015 |
| Design of Real-time Quality Estimator using PCTP commercial package for MPC J Park, Y Eom, M Lee Applied Chemistry 11 (1), 273-276, 2007 | | 2007 |
| Study of Advanced Control for Chemical Process Using the Commercial Package PCTP Based on Model Predictive Control Algorithm J Park, H Park, M Lee Journal of Institute of Control, Robotics and Systems 13 (11), 1128-1136, 2007 | | 2007 |
| The Design of Dividing Wall Column for Optimal Distribution of internal Recycling Flow S Lee, J Park, M Lee Institute of Control, Robotics and Systems, 446-450, 2006 | | 2006 |
| Design of Multiloop PI Controller for Disturbance Rejection in Multivariable Processes TNL Vu, J Park, M Lee Theories and Applications of Chem. Eng. 12 (1), 116, 2006 | | 2006 |
| Dynamic Real-time Optimization for a Fluidized Bed Roaster using LSTM Network-based Surrogate Model J Park, C Barton, J Colton | | |
John HedengrenProfessor of Chemical Engineering, Brigham Young UniversityVerified email at byu.edu
