Data-driven fault-tolerant control for nonlinear systems with output saturation

被引：8

作者：

Wang, Xianming ^{[1
]}

Shao, Yiyu ^{[1
]}

Zhang, Zhihao ^{[2
]}

Shen, Mouquan ^{[2
]}

Karimi, Hamid Reza ^{[3
]}

机构：

[1] Nanjing Tech Univ, Sch Mech & Power Engn, Nanjing 211816, Peoples R China

[2] Nanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing 211816, Peoples R China

[3] Politecn Milan, Dept Mech Engn, I-20156 Milan, Italy

来源：

CHAOS SOLITONS & FRACTALS | 2023年 / 173卷

基金：

中国国家自然科学基金;

关键词：

Data-driven control; Fault-tolerant; Adaptive dynamic programming;

D O I：

10.1016/j.chaos.2023.113626

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper is focused on data-driven fault-tolerant control for nonlinear systems with output saturation. A modified observer with measurement output is built to approximate sensor fault. According to this approximation, corresponding data-driven fault-tolerant controller is proposed by utilizing optimization criteria and adaptive dynamic programming method. Consequently, a triggering rule is constructed by employing instantaneous and average measurement output. Resorting to the Lyapunov method, the resulted error system is uniformly ultimately bounded. The effectiveness of the presented approach is demonstrated by an example comparison.

引用

页数：8

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