An Adaptive Fuzzy Approach to Fault Estimation Observer Design With Actuator Fault and Digital Communication

被引：14

作者：

Chen, Liheng ^{[1
]}

Fu, Shasha ^{[2
]}

Qiu, Jianbin ^{[3
]}

Feng, Zhiguang ^{[1
]}

机构：

[1] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, Harbin 150001, Peoples R China

[2] Heilongjiang Univ, Sch Elect Engn, Harbin 150001, Peoples R China

[3] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150080, Peoples R China

来源：

IEEE TRANSACTIONS ON CYBERNETICS | 2023年 / 53卷 / 08期

基金：

黑龙江省自然科学基金; 中国博士后科学基金; 中国国家自然科学基金;

关键词：

Observers; Iron; Quantization (signal); Actuators; Adaptive systems; Digital communication; Nonlinear systems; Adaptive observer design; fault estimation (FE); fuzzy-logic systems (FLSs); output quantization; NONLINEAR-SYSTEMS; TOLERANT CONTROL; JUMP SYSTEMS; STABILIZATION;

D O I：

10.1109/TCYB.2022.3170942

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article investigates the fault estimation (FE) problem for a class of nonlinear systems via an adaptive fuzzy approach. Considering the limited communication capacity of networks, the quantized measurement signals are used to construct adaptive laws instead of the real measurements in the designed fuzzy observer. By injecting the quantizer parameter into the observer inputs, the quantization effects on the convergence of estimation errors can be compensated. It is also shown that nondifferentiable actuator faults can be reconstructed by the developed FE approach. Finally, two simulation examples are provided to illustrate the validity of the presented scheme.

引用

页码：5048 / 5058

页数：11

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