| 1 |
An active approach to space-reduced NCO tracking and output feedback optimizing control for batch processes with parametric uncertainty
Ye LJ, Shen FF, Ma X, Zhang HW
Journal of Process Control, 89, 30, 2020 |
| 2 |
Simultaneous model identification and optimization in presence of model-plant mismatch
Mandur JS, Budman HM
Chemical Engineering Science, 129, 106, 2015 |
| 3 |
Dynamic optimization of bioreactors using probabilistic tendency models and Bayesian active learning
Martinez EC, Cristaldi MD, Grau RJ
Computers & Chemical Engineering, 49, 37, 2013 |
| 4 |
Measurement-based optimization of batch and repetitive processes using an integrated two-layer architecture
Podmajersky M, Fikar M, Chachuat B
Journal of Process Control, 23(7), 943, 2013 |
| 5 |
Run-to-run Optimization for Fed-batch Fermentation Process with Swarm Energy Conservation Particle Swarm Optimization Algorithm
Wang JL, Xue YY, Yu T, Zhao LQ
Chinese Journal of Chemical Engineering, 18(5), 787, 2010 |
| 6 |
Self-tuning run to run optimization of fed-batch processes using unfold-PLS
Camacho J, Pico J, Ferrer A
AIChE Journal, 53(7), 1789, 2007 |
| 7 |
Optimal grade transition for polyethylene reactors via NCO tracking
Bonvin D, Bodizs L, Srinivasan B
Chemical Engineering Research & Design, 83(A6), 692, 2005 |
| 8 |
Use of measurements for enforcing the necessary conditions of optimality in the presence of constraints and uncertainty
Francois G, Srinivasan B, Bonvin D
Journal of Process Control, 15(6), 701, 2005 |
| 9 |
Dynamic optimization of batch processes - II. Role of measurements in handling uncertainty
Srinivasan B, Bonvin D, Visser E, Palanki S
Computers & Chemical Engineering, 27(1), 27, 2003 |
