| A tutorial review of neural network modeling approaches for model predictive control YM Ren, MS Alhajeri, J Luo, S Chen, F Abdullah, Z Wu, PD Christofides Computers & Chemical Engineering 165, 107956, 2022 | 65 | 2022 |
| Hydrogen value chain and fuel cells within hybrid renewable energy systems: Advanced operation and control strategies S Chen, A Kumar, WC Wong, MS Chiu, X Wang Applied energy 233, 321-337, 2019 | 65 | 2019 |
| A cyber‐secure control‐detector architecture for nonlinear processes S Chen, Z Wu, PD Christofides AIChE Journal 66 (5), e16907, 2020 | 40 | 2020 |
| Model predictive control of phthalic anhydride synthesis in a fixed-bed catalytic reactor via machine learning modeling Z Wu, A Tran, YM Ren, CS Barnes, S Chen, PD Christofides Chemical Engineering Research and Design 145, 173-183, 2019 | 40 | 2019 |
| Machine learning‐based distributed model predictive control of nonlinear processes S Chen, Z Wu, D Rincon, PD Christofides AIChE Journal 66 (11), e17013, 2020 | 39 | 2020 |
| Cyber-attack detection and resilient operation of nonlinear processes under economic model predictive control S Chen, Z Wu, PD Christofides Computers & Chemical Engineering 136, 106806, 2020 | 33 | 2020 |
| Cyber-security of centralized, decentralized, and distributed control-detector architectures for nonlinear processes S Chen, Z Wu, PD Christofides Chemical Engineering Research and Design 165, 25-39, 2021 | 29 | 2021 |
| Post cyber-attack state reconstruction for nonlinear processes using machine learning Z Wu, S Chen, D Rincon, PD Christofides Chemical Engineering Research and Design 159, 248-261, 2020 | 26 | 2020 |
| Machine‐learning‐based construction of barrier functions and models for safe model predictive control S Chen, Z Wu, PD Christofides AIChE Journal 68 (6), e17456, 2022 | 12 | 2022 |
| Decentralized machine-learning-based predictive control of nonlinear processes S Chen, Z Wu, PD Christofides Chemical Engineering Research and Design 162, 45-60, 2020 | 10 | 2020 |
| Statistical machine-learning-based predictive control using barrier functions for process operational safety S Chen, Z Wu, PD Christofides Computers & Chemical Engineering 163, 107860, 2022 | 7 | 2022 |
| Economic Model Predictive Control of Nonlinear Systems Using Online Learning of Neural Networks C Hu, S Chen, Z Wu Processes 11 (2), 342, 2023 | 5 | 2023 |
| Local control of fuel cell systems within hybrid renewable energy generation using model predictive control S Chen, MS Chiu, X Wang Energy Procedia 145, 333-338, 2018 | 5 | 2018 |
| Barrier-function-based distributed predictive control for operational safety of nonlinear processes S Chen, Z Wu, PD Christofides Computers & Chemical Engineering 159, 107690, 2022 | 4 | 2022 |
| Cyber-Security of Decentralized and Distributed Control Architectures with Machine-Learning Detectors for Nonlinear Processes S Chen, Z Wu, PD Christofides 2021 American Control Conference (ACC), 3273-3280, 2021 | 2 | 2021 |
| Model predictive control of fuel cells system within hybrid renewable energy generation S Chen, MS Chiu, X Wang IFAC-PapersOnLine 51 (18), 856-861, 2018 | 2 | 2018 |
| Machine Learning-Based Cyber-attack Detection and Resilient Operation via Economic Model Predictive Control for Nonlinear Processes S Chen, Z Wu, PD Christofides 2020 28th Mediterranean Conference on Control and Automation (MED), 794-801, 2020 | 1 | 2020 |
| Nonlinear Model Predictive Control Using Statistical Machine-Learning-Based Control Lyapunov Barrier Functions SS Chen, Z Wu, P Christofides 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Distributed Model Predictive Control of Nonlinear Processes Using Machine Learning Models S Chen, Z Wu, D Rincon, PD Christofides 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| On the Use of Recurrent Neural Network Models in Economic Model Predictive Control of Nonlinear Processes Z Wu, S Chen, D Rincon, PD Christofides 2019 AIChE Annual Meeting, 2019 | | 2019 |
Zhe WuAssistant Professor, National University of SingaporeVerified email at nus.edu.sg
