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ORCIDZhe Wu 0004
Person information
- affiliation: National University of Singapore, Department of Chemical and Biomolecular Engineering, Singapore
- affiliation: University of California, Los Angeles, UCLA, Department of Chemical and Biomolecular Engineering, CA, USA
Other persons with the same name
- Zhe Wu — disambiguation page
- Zhe Wu 0001 — University of Maryland, College Park, MD, USA
- Zhe Wu 0002 — University of Illinois Urbana-Champaign, Department of Electrical and Computer Engineering, Coordinated Science Laboratory, IL, USA
- Zhe Wu 0003 — Google Inc., Mountain View, CA (and 2 more)
- Zhe Wu 0005
![[0000-0001-5552-4619]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5552-4619")
— University of Electronic Science and Technology of China, School of Physics, Chengdu, China (and 2 more) - Zhe Wu 0006 — Peng Cheng Laboratory, Shenzhen, China (and 1 more)
- Zhe Wu 0007 — Nanjing University of Aeronautics and Astronautic, China
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2020 – today
- 2024
[j18]Wallace Tan Gian Yion, Zhe Wu:
Robust machine learning modeling for predictive control using Lipschitz-Constrained Neural Networks. Comput. Chem. Eng. 180: 108466 (2024)- [j17]Wenlong Wang, Yujia Wang, Yuhe Tian, Zhe Wu:
Explicit machine learning-based model predictive control of nonlinear processes via multi-parametric programming. Comput. Chem. Eng. 186: 108689 (2024) - [j16]Zeyuan Xu, Zhe Wu:
Privacy-preserving federated machine learning modeling and predictive control of heterogeneous nonlinear systems. Comput. Chem. Eng. 187: 108749 (2024) - 2023
- [j15]Tianyi Zhao, Yingzhe Zheng, Zhe Wu:
Feature selection-based machine learning modeling for distributed model predictive control of nonlinear processes. Comput. Chem. Eng. 169: 108074 (2023) - [j14]Sandra Parker, Zhe Wu, Panagiotis D. Christofides:
Cybersecurity in process control, operations, and supply chain. Comput. Chem. Eng. 171: 108169 (2023) - [j13]Zhiyuan Wang, Wallace Tan Gian Yion, Gade Pandu Rangaiah, Zhe Wu:
Machine learning aided model predictive control with multi-objective optimization and multi-criteria decision making. Comput. Chem. Eng. 179: 108414 (2023) - 2022
- [j12]Fahim Abdullah, Zhe Wu, Panagiotis D. Christofides:
Handling noisy data in sparse model identification using subsampling and co-teaching. Comput. Chem. Eng. 157: 107628 (2022) - [j11]Scarlett Chen, Zhe Wu, Panagiotis D. Christofides:
Barrier-function-based distributed predictive control for operational safety of nonlinear processes. Comput. Chem. Eng. 159: 107690 (2022) - [j10]Scarlett Chen, Zhe Wu, Panagiotis D. Christofides:
Statistical machine-learning-based predictive control using barrier functions for process operational safety. Comput. Chem. Eng. 163: 107860 (2022) - [j9]Zhiyuan Wang, Jie Li, Gade Pandu Rangaiah, Zhe Wu:
Machine learning aided multi-objective optimization and multi-criteria decision making: Framework and two applications in chemical engineering. Comput. Chem. Eng. 165: 107945 (2022) - [j8]Yi Ming Ren, Mohammed S. Alhajeri, Junwei Luo, Scarlett Chen, Fahim Abdullah, Zhe Wu, Panagiotis D. Christofides:
A tutorial review of neural network modeling approaches for model predictive control. Comput. Chem. Eng. 165: 107956 (2022) - [c14]Zhe Wu, Aisha Alnajdi, Quanquan Gu, Panagiotis D. Christofides:
Machine-Learning-based Predictive Control of Nonlinear Processes with Uncertainty. ACC 2022: 2810-2816 - 2021
- [j7]Fahim Abdullah, Zhe Wu, Panagiotis D. Christofides:
Sparse-identification-based model predictive control of nonlinear two-time-scale processes. Comput. Chem. Eng. 153: 107411 (2021) - [c13]Scarlett Chen, Zhe Wu, Panagiotis D. Christofides:
Cyber-Security of Decentralized and Distributed Control Architectures with Machine-Learning Detectors for Nonlinear Processes. ACC 2021: 3273-3280 - [c12]Zhe Wu, David Rincón, Junwei Luo, Panagiotis D. Christofides:
Handling Noisy Data in Machine Learning Modeling and Predictive Control of Nonlinear Processes. ACC 2021: 3345-3351 - [c11]Zhe Wu, David Rincón, Junwei Luo, Panagiotis D. Christofides:
Improving Machine Learning Modeling of Nonlinear Processes Under Noisy Data Via Co-teaching Method. ACC 2021: 4660-4666 - 2020
- [j6]Zhe Wu, Panagiotis D. Christofides:
Control Lyapunov-Barrier function-based predictive control of nonlinear processes using machine learning modeling. Comput. Chem. Eng. 134: 106706 (2020) - [j5]Scarlett Chen, Zhe Wu, Panagiotis D. Christofides:
Cyber-attack detection and resilient operation of nonlinear processes under economic model predictive control. Comput. Chem. Eng. 136: 106806 (2020) - [j4]Junfeng Zhang, Panagiotis D. Christofides, Xiao He, Zhe Wu, Yinghong Zhao, Donghua Zhou:
Robust detection of intermittent sensor faults in stochastic LTV systems. Neurocomputing 388: 181-187 (2020) - [c10]Zhe Wu, David Rincón, Panagiotis D. Christofides:
Incorporating Structural Process Knowledge in Recurrent Neural Network Modeling of Nonlinear Processes. ACC 2020: 2413-2418 - [c9]Zhe Wu, Panagiotis D. Christofides:
Control Lyapunov-Barrier Function-Based Predictive Control of Nonlinear Systems Using Machine Learning Models. ACC 2020: 2754-2759 - [c8]Scarlett Chen, Zhe Wu, Panagiotis D. Christofides:
Machine Learning-Based Cyber-attack Detection and Resilient Operation via Economic Model Predictive Control for Nonlinear Processes. MED 2020: 794-801 - [c7]Yichi Zhang, Yangyao Ding, Zhe Wu, Panagiotis D. Christofides:
Run-to-Run Control of Thermal Atomic Layer Deposition. MED 2020: 1080-1086
2010 – 2019
- 2019
- [j3]Zhe Wu, Fahad Albalawi, Zhihao Zhang, Junfeng Zhang, Helen Durand, Panagiotis D. Christofides:
Control Lyapunov-Barrier function-based model predictive control of nonlinear systems. Autom. 109 (2019) - [j2]Zhihao Zhang, Zhe Wu, David Rincón, Carlos Garcia, Panagiotis D. Christofides:
Operational safety of chemical processes via Safeness-Index based MPC: Two large-scale case studies. Comput. Chem. Eng. 125: 204-215 (2019) - [c6]Zhe Wu, Panagiotis D. Christofides:
On Impact of Unsafe Set Structure in Control Lyapunov-Barrier Function-Based Model Predictive Control. ACC 2019: 894-898 - [c5]Zhihao Zhang, Zhe Wu, David Rincón, Panagiotis D. Christofides:
Integrating Safeness Index-Based Model Predictive Control and Safety Relief Valve Activation for Operational Safety of Chemical Processes. ACC 2019: 995-1001 - [c4]Zhe Wu, Anh Tran, Yi Ming Ren, Cory S. Barnes, Panagiotis D. Christofides:
Computational Fluid Dynamics Modeling and Control of Phthalic Anhydride Synthesis in a Fixed-Bed Catalytic Reactor. ACC 2019: 2151-2157 - [c3]Eleonora Maria Aiello, Zhe Wu, Panagiotis D. Christofides, Chiara Toffanin, Claudio Cobelli, Lalo Magni:
Improving Diabetes Conventional Therapy via Machine Learning Modeling. ACC 2019: 4136-4143 - 2018
- [j1]Zhe Wu, Helen Durand, Panagiotis D. Christofides:
Safe economic model predictive control of nonlinear systems. Syst. Control. Lett. 118: 69-76 (2018) - [c2]Zhe Wu, Junfeng Zhang, Zhihao Zhang, Fahad Albalawi, Helen Durand, Maaz Mahmood, Prashant Mhaskar, Panagiotis D. Christofides:
Lyapunov-based Economic Model Predictive Control of Stochastic Nonlinear Systems. ACC 2018: 3900-3907 - [c1]Zhe Wu, Fahad Albalawi, Zhihao Zhang, Junfeng Zhang, Helen Durand, Panagiotis D. Christofides:
Control Lyapunov-Barrier Function-Based Model Predictive Control of Nonlinear Systems. ACC 2018: 5920-5926
Coauthor Index
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