Robust fuzzy observer-based fault detection for nonlinear systems with disturbances

被引：22

作者：

Li, Linlin ^{[1
,2
]}

Ding, Steven X. ^{[2
]}

Yang, Ying ^{[3
]}

Zhang, Yong ^{[2
,3
]}

机构：

[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China

[2] Univ Duisburg Essen, Fac Engn, Inst Automat Control & Complex Syst AKS, D-47057 Duisburg, Germany

[3] Peking Univ, Dept Mech & Engn Sci, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China

来源：

NEUROCOMPUTING | 2016年 / 174卷

基金：

中国国家自然科学基金;

关键词：

Nonlinear systems; Fault detection (FD); Observer-based residual generator; Takagi-Sugeno (T-S) fuzzy technique; DETECTION FILTER DESIGN; CONTROLLER-DESIGN; APPROXIMATION;

D O I：

10.1016/j.neucom.2015.09.102

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 studies the integrated design of fuzzy observer-based fault detection (FD) for nonlinear systems in the presence of external disturbances. To this end, we first approximate the nonlinear systems by a set of Takagi-Sugeno (T-S) fuzzy models. Then, the observer-based FD systems are studied with the aid of L-2 stability theory. In the end, a numerical example is given to show the efficiency of the proposed method. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：767 / 772

页数：6

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