Fuzzy Event-Triggered Fault-Tolerant Control for a Class of Uncertain Nonlinear Systems

被引：1

作者：

Yan, Yan ^{[1
]}

Wu, Li-Bing ^{[1
]}

Hu, Yu-Han ^{[1
]}

Zhang, Zhi-Guo ^{[2
]}

机构：

[1] Univ Sci & Technol Liaoning, Sch Sci, Anshan, Peoples R China

[2] Guidaojiaotong Polytech Inst, Lib Informat Ctr, Shenyang, Peoples R China

来源：

2021 13TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI) | 2021年

基金：

中国国家自然科学基金;

关键词：

Adaptive control; fuzzy approximation; event-triggered control (ETC); fault-tolerant control (FTC); nonlinear systems; FAILURE COMPENSATION;

D O I：

10.1109/ICACI52617.2021.9435914

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper devotes to investigating the issue of the fuzzy adaptive event-triggered fault-tolerant control for multi-input and single-output (MISO) nonlinear systems with actuator failures and external disturbances. Based on the backstepping technique and fuzzy logic system (FLS), the fault-tolerant controller and the corresponding adaptive update laws are designed to eliminate the effect of actuator fault At the same time, the event-triggered mechanism is introduced to reduce the computational load of the control input The stability analysis shows that the control scheme has great tracking performance ensures the stability of the system. The simulation results further verify the validity of the above theoretical.

引用

页码：19 / 25

页数：7

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