Event-triggered Tracking Control for a Class of Nonlinear Systems With Observer and Prescribed Performance

被引：0

作者：

You, Xing-Xing ^{[1
]}

Yang, Dao-Wen ^{[1
,2
]}

Guo, Bin ^{[1
]}

Liu, Kai ^{[1
]}

Dian, Song-Yi ^{[1
]}

Zhu, Yu-Qi ^{[1
]}

机构：

[1] College of Electrical Engineering, Sichuan University, Chengdu

[2] Robot Perception and Control Joint Laboratory, Sichuan University & Aisono, Chengdu

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2024年 / 50卷 / 09期

基金：

中国国家自然科学基金;

关键词：

Adaptive control; event-triggered; fuzzy logic system; fuzzy observer; prescribed performance;

D O I：

10.16383/j.aas.c210387

中图分类号：

学科分类号：

摘要：

This paper investigates an adaptive fuzzy tracking control method for a class of nonlinear systems with external disturbances. Firstly, fuzzy logic systems and the fuzzy state observer are implemented to approximate unknown nonlinear functions and estimate the unmeasured states of systems, respectively. Then, the tracking error can be constrained within the specified range by means of the performance function. Furthermore, an event-triggered adaptive fuzzy controller is designed by employing the Backstepping method and Lyapunov functional with logarithm function. The proposed control strategy can ensure that all the signals of the closed-loop system are semiglobally uniformly ultimately bounded based on the Lyapunov stability theory and the properties of tanh function. Finally, a numerical simulation example is provided to verify the effectiveness of proposed method. © 2024 Science Press. All rights reserved.

引用

页码：1747 / 1760

页数：13

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