| 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 |
Cyber-security of centralized, decentralized, and distributed control-detector architectures for nonlinear processes
Chen S, Wu Z, Christofides PD
Chemical Engineering Research & Design, 165, 25, 2021 |
| 3 |
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 |
| 4 |
Decentralized machine-learning-based predictive control of nonlinear processes
Chen S, Wu Z, Christofides PD
Chemical Engineering Research & Design, 162, 45, 2020 |
| 5 |
Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear Processes
Wu Z, Rincon D, Christofides PD
Industrial & Engineering Chemistry Research, 59(6), 2275, 2020 |
| 6 |
Intermittent sensor fault detection for stochastic LTV systems with parameter uncertainty and limited resolution
Zhang JF, Christofides PD, He X, Albalawi F, Zhao YH, Zhou DH
International Journal of Control, 93(4), 788, 2020 |
| 7 |
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 |
| 8 |
Handling bounded and unbounded unsafe sets in Control Lyapunov-Barrier function-based model predictive control of nonlinear processes
Wu Z, Christofides PD
Chemical Engineering Research & Design, 143, 140, 2019 |
| 9 |
Multiscale computational fluid dynamics modeling of thermal atomic layer deposition with application to chamber design
Zhang YC, Ding YY, Christofides PD
Chemical Engineering Research & Design, 147, 529, 2019 |
| 10 |
Operational safety of an ammonia process network via model predictive control
Zhang ZH, Wu Z, Rincon D, Christofides PD
Chemical Engineering Research & Design, 146, 277, 2019 |
