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Rahul Bindlish
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Year
Target linearization and model predictive control of polymerization processes
R Bindlish, JB Rawlings
AIChE journal 49 (11), 2885-2899, 2003
402003
Operability and control in process intensification and modular design: Challenges and opportunities
EN Pistikopoulos, Y Tian, R Bindlish
AIChE Journal 67 (5), e17204, 2021
392021
Parameter estimation for industrial polymerization processes
R Bindlish, JB Rawlings, RE Young
AIChE journal 49 (8), 2071-2078, 2003
312003
Feasible real-time nonlinear model predictive control
MJ Tenny, JB Rawlings, R Bindlish
AICHE SYMPOSIUM SERIES, 433-437, 2002
312002
Nonlinear model predictive control of an industrial polymerization process
R Bindlish
Computers & Chemical Engineering 73, 43-48, 2015
302015
Power scheduling and real-time optimization of industrial cogeneration plants
R Bindlish
Computers & Chemical Engineering 87, 257-266, 2016
232016
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
202018
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
192017
Passivity-based adaptive inventory control
K Li, KH Chan, BE Ydstie, R Bindlish
Journal of Process Control 20 (10), 1126-1132, 2010
172010
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
132020
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
122022
Modeling and control of polymerization processes
R Bindlish
The University of Wisconsin-Madison, 1999
111999
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
102017
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
92017
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
82022
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
82017
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
72016
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
62022
Scheduling, optimization and control of power for industrial cogeneration plants
R Bindlish
Computers & Chemical Engineering 114, 221-224, 2018
62018
Model order selection for process identification applied to an industrial ethylene furnace
R Bindlish
Journal of Process Control 13 (6), 569-577, 2003
62003
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