| Petroleum refining process control and real-time optimization RE Young IEEE Control Systems Magazine 26 (6), 73-83, 2006 | 68 | 2006 |
| Evolution of an industrial nonlinear model predictive controller RE Young, RD Bartusiak, RW Fontaine AIChE Symposium Series, 342-351, 2002 | 54 | 2002 |
| Moving-horizon state estimation applied to an industrial polymerization process LP Russo, RE Young Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251) 2 …, 1999 | 49 | 1999 |
| Industrial application of a large-scale dynamic data reconciliation strategy TA Soderstrom, TF Edgar, LP Russo, RE Young Industrial & Engineering Chemistry Research 39 (6), 1683-1693, 2000 | 46 | 2000 |
| Raman analysis system for olefin polymerization control RL Long, RE Young, PA Bartel US Patent 6,479,597, 2002 | 34 | 2002 |
| The application of nonlinear dynamic data reconciliation to plant data KF McBrayer, TA Soderstrom, TF Edgar, RE Young Computers & chemical engineering 22 (12), 1907-1911, 1998 | 34 | 1998 |
| Parameter estimation for industrial polymerization processes R Bindlish, JB Rawlings, RE Young AIChE journal 49 (8), 2071-2078, 2003 | 31 | 2003 |
| Understanding the evolution of mathematics performance in primary education and the implications for STEM learning: A Markovian approach AC Reamer, JS Ivy, AR Vila-Parrish, RE Young Computers in Human Behavior 47, 4-17, 2015 | 20 | 2015 |
| Long–short-term memory encoder–decoder with regularized hidden dynamics for fault detection in industrial processes Y Liu, R Young, B Jafarpour Journal of Process Control 124, 166-178, 2023 | 11 | 2023 |
| A multi-rate decentralized parameter estimation method for stiff systems RE Young, R Henriksen, DA Mellichamp 26th IEEE Conference on Decision and Control 26, 1902-1907, 1987 | 11 | 1987 |
| Deep learning for prediction and fault detection in geothermal operations Y Liu, W Ling, R Young, T Cladouhos, J Zia, B Jafarpour Proceedings of the 46th Workshop on Geothermal Reservoir Engineering …, 2021 | 10 | 2021 |
| Parameter estimation in a dynamic model of a copolymerization process R Bindlish, JA Rawlings, RE Young Proceedings of the 1997 American Control Conference (Cat. No. 97CH36041) 4 …, 1997 | 3 | 1997 |
| Latent-space dynamics for prediction and fault detection in geothermal power plant operations Y Liu, W Ling, R Young, J Zia, TT Cladouhos, B Jafarpour Energies 15 (7), 2555, 2022 | 2 | 2022 |
| Adaptive supervisory control of a fixed-bed autothermal reactor RE Young University of California, Santa Barbara, 1989 | 2 | 1989 |
| Efficient data-driven models for prediction and optimization of geothermal power plant operations W Ling, Y Liu, R Young, TT Cladouhos, B Jafarpour Geothermics 119, 102924, 2024 | | 2024 |
| Deep learning-based predictive control for geothermal operations JB Ling, W., Liu Y., Young R., Zia J., Swyer M., Cladouhos T.T. 2021 Geothermal Rising Conference, 2021 | | 2021 |
| Deep learning for prediction and fault detection in geothermal operations JB Liu Y., Ling W., Young R., Cladouhos T.T., Zia J. 46th Stanford Geothermal Workshop, 2021 | | 2021 |
| A Dynamic Deep Learning Model for Performance Prediction and Fault Detection in Geothermal Power Plants Y Liu, W Ling, R Young, TT Cladouhos, J Zia, B Jafarpour AGU Fall Meeting Abstracts 2020, H036-0009, 2020 | | 2020 |
| A dynamic deep learning model for performance prediction and fault detection in geothermal power plants JB Liu Y., Ling W., Young R., Cladouhos T.T., Zia J. American Geophysical Union Fall Meeting, 2020 | | 2020 |
| Hilbert and Dilbert D Bernstein IEEE Control Systems 26 (6), 8-9, 2006 | | 2006 |
Behnam JafarpourProfessor of Chemical and Electrical Engineering, USCVerified email at usc.edu
