| 1 |
Data-based reduced-order modeling of nonlinear twotime-scale processes
Abdullah F, Wu Z, Christofides PD
Chemical Engineering Research & Design, 166, 1, 2021 |
| 2 |
Real-time machine learning for operational safety of nonlinear processes via barrier-function based predictive control
Wu Z, Rincon D, Christofides PD
Chemical Engineering Research & Design, 155, 88, 2020 |
| 3 |
An approach of dynamic sliding mode control for chemical processes
Herrera M, Camacho O, Leiva H, Smith C
Journal of Process Control, 85, 112, 2020 |
| 4 |
Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes
Wu Z, Rincon D, Christofides PD
Journal of Process Control, 89, 74, 2020 |
| 5 |
Dissipativity-based distributed fault diagnosis for plantwide chemical processes
Li WY, Yan YT, Bao J
Journal of Process Control, 96, 37, 2020 |
| 6 |
Interactions between control and process design under economic model predictive control
Oyama H, Durand H
Journal of Process Control, 92, 1, 2020 |
| 7 |
Prediction-based control for a class of unstable time-delayed processes by using a modified sequential predictor
Hernandez-Perez MA, Fragoso-Rubio V, Velasco-Villa M, del Muro-Cuellar B, Marquez-Rubio JF, Puebla H
Journal of Process Control, 92, 98, 2020 |
| 8 |
An optimized long short-term memory network based fault diagnosis model for chemical processes
Han YM, Ding N, Geng ZQ, Wang Z, Chu C
Journal of Process Control, 92, 161, 2020 |
| 9 |
On accounting for equipment-control interactions in economic model predictive control via process state constraints
Durand H
Chemical Engineering Research & Design, 144, 63, 2019 |
| 10 |
Model-based strategies for sensor fault accommodation in uncertain dynamic processes with multi-rate sampled measurements
Allen J, Chen SR, El-Farra NH
Chemical Engineering Research & Design, 142, 204, 2019 |
