Observer-Based Adaptive Event-Triggered Control for Nonstrict-Feedback Nonlinear Systems With Output Constraint and Actuator Failures

被引：133

作者：

Cao, Liang ^{[1
]}

Zhou, Qi ^{[1
]}

Dong, Guowei ^{[1
]}

Li, Hongyi ^{[1
,2
]}

机构：

[1] Guangdong Univ Technol, Guangdong Prov Key Lab Intelligent Decis & Cooper, Guangzhou 510006, Peoples R China

[2] Bohai Univ, Coll Engn, Jinzhou 121013, Peoples R China

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2021年 / 51卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Adaptive systems; Actuators; Nonlinear systems; Backstepping; Observers; Fuzzy logic; Explosions; Actuator failures; adaptive fuzzy control; event-triggered mechanism; large-scale systems;

D O I：

10.1109/TSMC.2019.2895858

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An observer-based adaptive dynamic surface control (DSC) strategy is proposed for nonlinear nonstrict-feedback systems with time-varying disturbance, event-triggered mechanism, and actuator failures in this paper. Fuzzy logic systems are implemented to construct an observer to estimate the unmeasured states. The DSC method is exploited to solve the issue of "explosion of complexity" with the backstepping control technique. The constructed event-triggered mechanism can avoid the waste of communication resources. The barrier Lyapunov functions are utilized to address the problem of output constraint. It is demonstrated that the reference signals can be well tracked by the system output and all closed-loop signals remain semi-globally uniformly ultimately bounded. Two examples illustrate the effectiveness of the constructed controller.

引用

页码：1380 / 1391

页数：12

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