Off-policy reinforcement learning-based novel model-free minmax fault-tolerant tracking control for industrial processes

Author:

Li Xueyu,Luo Qiuwen,Wang Limin,Zhang Ridong,Gao Furong

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference34 articles.

1. Iterative Learning Stabilization and Failure-Tolerant Control for Batch Processes;Wang,2020

2. Robust constrained model predictive failure-tolerant control for industrial processes with partial actuator failures and interval time-varying delays;Shi;J. Process Control,2019

3. Failure-tolerant control for stochastic multi-agent systems with output constraints;Zheng;Control Theory Appl.,2020

4. Adaptive failure-tolerant synchronization control of a class of complex dynamical networks with general input distribution matrices and actuator failures;Li;IEEE Trans. Neural Netw. Learn. Syst.,2017

5. Improved control for industrial systems over model uncertainty: a receding horizon expanded state space control approach;Zhang;IEEE Trans. Syst. Man Cybern.,2020

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