Event-Triggered Fault Detection of Nonlinear Networked Systems

被引：332

作者：

Li, Hongyi ^{[1
]}

Chen, Ziran ^{[2
]}

Wu, Ligang ^{[3
]}

Lam, Hak-Keung ^{[4
]}

Du, Haiping ^{[5
]}

机构：

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

[2] Bohai Univ, Coll Informat Sci & Technol, Jinzhou 121013, Peoples R China

[3] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China

[4] Kings Coll London, Dept Informat, London WC2R 2LS, England

[5] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia

来源：

IEEE TRANSACTIONS ON CYBERNETICS | 2017年 / 47卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Event-triggered scheme; fault detection; nonlinear networked systems; polynomial fuzzy model; sum of squares (SOSs); DISCRETE-TIME-SYSTEMS; RELAXED STABILITY CONDITIONS; FUZZY CONTROL; FEEDBACK STABILIZATION; ROBUST; DESIGN; DELAY; SUM;

D O I：

10.1109/TCYB.2016.2536750

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 paper investigates the problem of fault detection for nonlinear discrete-time networked systems under an event-triggered scheme. A polynomial fuzzy fault detection filter is designed to generate a residual signal and detect faults in the system. A novel polynomial event-triggered scheme is proposed to determine the transmission of the signal. A fault detection filter is designed to guarantee that the residual system is asymptotically stable and satisfies the desired performance. Polynomial approximated membership functions obtained by Taylor series are employed for filtering analysis. Furthermore, sufficient conditions are represented in terms of sum of squares (SOSs) and can be solved by SOS tools in MATLAB environment. A numerical example is provided to demonstrate the effectiveness of the proposed results.

引用

页码：1041 / 1052

页数：12

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