| Operability and control in process intensification and modular design: Challenges and opportunities EN Pistikopoulos, Y Tian, R Bindlish AIChE Journal 67 (5), e17204, 2021 | 47 | 2021 |
| Target linearization and model predictive control of polymerization processes R Bindlish, JB Rawlings AIChE journal 49 (11), 2885-2899, 2003 | 40 | 2003 |
| Nonlinear model predictive control of an industrial polymerization process R Bindlish Computers & Chemical Engineering 73, 43-48, 2015 | 32 | 2015 |
| Parameter estimation for industrial polymerization processes R Bindlish, JB Rawlings, RE Young AIChE journal 49 (8), 2071-2078, 2003 | 31 | 2003 |
| Feasible real-time nonlinear model predictive control MJ Tenny, JB Rawlings, R Bindlish AICHE SYMPOSIUM SERIES, 433-437, 2002 | 31 | 2002 |
| Power scheduling and real-time optimization of industrial cogeneration plants R Bindlish Computers & Chemical Engineering 87, 257-266, 2016 | 25 | 2016 |
| Plant–Model Mismatch Estimation from Closed-Loop Data for State-Space Model Predictive Control¶ JM Simkoff, S Wang, M Baldea, LH Chiang, I Castillo, R Bindlish, ... Industrial & Engineering Chemistry Research 57 (10), 3732-3741, 2018 | 23 | 2018 |
| Autocovariance-based plant-model mismatch estimation for linear model predictive control S Wang, JM Simkoff, M Baldea, LH Chiang, I Castillo, R Bindlish, ... Systems & Control Letters 104, 5-14, 2017 | 22 | 2017 |
| Data-driven strategies for extractive distillation unit optimization K Ma, NV Sahinidis, R Bindlish, SJ Bury, R Haghpanah, S Rajagopalan Computers & Chemical Engineering 167, 107970, 2022 | 21 | 2022 |
| Data‐driven plant‐model mismatch estimation for dynamic matrix control systems X Xu, JM Simkoff, M Baldea, LH Chiang, I Castillo, R Bindlish, B Ashcraft International Journal of Robust and Nonlinear Control 30 (17), 7103-7129, 2020 | 21 | 2020 |
| Passivity-based adaptive inventory control K Li, KH Chan, BE Ydstie, R Bindlish Journal of Process Control 20 (10), 1126-1132, 2010 | 17 | 2010 |
| Data-driven strategies for optimization of integrated chemical plants K Ma, NV Sahinidis, S Amaran, R Bindlish, SJ Bury, D Griffith, ... Computers & Chemical Engineering 166, 107961, 2022 | 13 | 2022 |
| Autocovariance-based MPC model mismatch estimation for systems with measurable disturbances S Wang, JM Simkoff, M Baldea, LH Chiang, I Castillo, R Bindlish, ... Journal of Process Control 55, 42-54, 2017 | 11 | 2017 |
| Modeling and control of polymerization processes R Bindlish The University of Wisconsin-Madison, 1999 | 11 | 1999 |
| A Process Intensification synthesis framework for the design of dividing wall column systems Y Tian, V Meduri, R Bindlish, EN Pistikopoulos Computers & Chemical Engineering 160, 107679, 2022 | 10 | 2022 |
| Plant-model mismatch evaluation for unconstrained MPC with state estimation JM Simkoff, S Wang, M Baldea, LH Chiang, I Castillo, R Bindlish, ... 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 6177-6182, 2017 | 9 | 2017 |
| Plant-model mismatch estimation in unconstrained state-space MPC JM Simkoff, S Wang, M Baldea, LH Chiang, I Castillo, R Bindlish, ... 2017 American Control Conference (ACC), 3078-3083, 2017 | 9 | 2017 |
| Data-driven plant-model mismatch quantification in input-constrained linear MPC S Wang, JM Simkoff, M Baldea, LH Chiang, I Castillo, R Bindlish, ... IFAC-PapersOnLine 49 (7), 25-30, 2016 | 7 | 2016 |
| Data-driven plant-model mismatch quantification for MIMO MPC systems with feedforward control path X Xu, JM Simkoff, M Baldea, LH Chiang, I Castillo, R Bindlish, B Ashcraft 2020 American Control Conference (ACC), 2760-2765, 2020 | 6 | 2020 |
| Nonlinear model predictive control of an industrial process with steady-state gain inversion R Bindlish Computers & Chemical Engineering 135, 106739, 2020 | 6 | 2020 |
