Fault-tolerant control for nonlinear systems with a dead zone: Reinforcement learning approach

Fault-tolerant control for nonlinear systems with a dead zone: Reinforcement learning approach

This paper focuses on the adaptive reinforcement learning-based optimal control problem for standard nonstrict-feedback nonlinear systems with the actuator fault and an unknown dead zone. To simultaneously reduce the computational complexity and eliminate the local optimal problem, a novel neural ne...

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Bibliographic Details
Main Authors: Zichen Wang, Xin Wang
Format: Article
Language:English
Published: AIMS Press 2023-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
fault-tolerant control
input dead zone
nonstrict-feedback
nonlinear system
reinforcement learning
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023274?viewType=HTML

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