Zhe Wu
Orcid: 0000-0002-2923-149XAffiliations:
- National University of Singapore, Department of Chemical and Biomolecular Engineering, Singapore
- University of California, Los Angeles, UCLA, Department of Chemical and Biomolecular Engineering, CA, USA
According to our database1,
Zhe Wu
authored at least 29 papers
between 2018 and 2024.
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Bibliography
2024
Robust machine learning modeling for predictive control using Lipschitz-Constrained Neural Networks.
Comput. Chem. Eng., January, 2024
2023
Machine learning aided model predictive control with multi-objective optimization and multi-criteria decision making.
Comput. Chem. Eng., November, 2023
Comput. Chem. Eng., March, 2023
Feature selection-based machine learning modeling for distributed model predictive control of nonlinear processes.
Comput. Chem. Eng., 2023
2022
Machine learning aided multi-objective optimization and multi-criteria decision making: Framework and two applications in chemical engineering.
Comput. Chem. Eng., 2022
A tutorial review of neural network modeling approaches for model predictive control.
Comput. Chem. Eng., 2022
Statistical machine-learning-based predictive control using barrier functions for process operational safety.
Comput. Chem. Eng., 2022
Barrier-function-based distributed predictive control for operational safety of nonlinear processes.
Comput. Chem. Eng., 2022
Handling noisy data in sparse model identification using subsampling and co-teaching.
Comput. Chem. Eng., 2022
Proceedings of the American Control Conference, 2022
2021
Sparse-identification-based model predictive control of nonlinear two-time-scale processes.
Comput. Chem. Eng., 2021
Improving Machine Learning Modeling of Nonlinear Processes Under Noisy Data Via Co-teaching Method.
Proceedings of the 2021 American Control Conference, 2021
Handling Noisy Data in Machine Learning Modeling and Predictive Control of Nonlinear Processes.
Proceedings of the 2021 American Control Conference, 2021
Cyber-Security of Decentralized and Distributed Control Architectures with Machine-Learning Detectors for Nonlinear Processes.
Proceedings of the 2021 American Control Conference, 2021
2020
Neurocomputing, 2020
Control Lyapunov-Barrier function-based predictive control of nonlinear processes using machine learning modeling.
Comput. Chem. Eng., 2020
Cyber-attack detection and resilient operation of nonlinear processes under economic model predictive control.
Comput. Chem. Eng., 2020
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020
Machine Learning-Based Cyber-attack Detection and Resilient Operation via Economic Model Predictive Control for Nonlinear Processes.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020
Incorporating Structural Process Knowledge in Recurrent Neural Network Modeling of Nonlinear Processes.
Proceedings of the 2020 American Control Conference, 2020
Control Lyapunov-Barrier Function-Based Predictive Control of Nonlinear Systems Using Machine Learning Models.
Proceedings of the 2020 American Control Conference, 2020
2019
Operational safety of chemical processes via Safeness-Index based MPC: Two large-scale case studies.
Comput. Chem. Eng., 2019
Control Lyapunov-Barrier function-based model predictive control of nonlinear systems.
Autom., 2019
Integrating Safeness Index-Based Model Predictive Control and Safety Relief Valve Activation for Operational Safety of Chemical Processes.
Proceedings of the 2019 American Control Conference, 2019
Computational Fluid Dynamics Modeling and Control of Phthalic Anhydride Synthesis in a Fixed-Bed Catalytic Reactor.
Proceedings of the 2019 American Control Conference, 2019
On Impact of Unsafe Set Structure in Control Lyapunov-Barrier Function-Based Model Predictive Control.
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
Syst. Control. Lett., 2018
Proceedings of the 2018 Annual American Control Conference, 2018