An iterative observer-based fault estimation for discrete-time T-S fuzzy systems

被引：10

作者：

Ma, Yongsheng ^{[1
]}

Shen, Mouquan ^{[1
]}

Du, Haiping ^{[2
]}

Ren, Yuesheng ^{[1
]}

Bian, Guangrui ^{[1
]}

机构：

[1] Nanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing 211816, Peoples R China

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

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2020年 / 51卷 / 06期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Fault estimation; <inline-graphic xlink; href="tsys_a_1746440_ilm0002; gif; > control; t-S fuzzy system; linear matrix inequalities; TOLERANT CONTROLLER-DESIGN; UNKNOWN-INPUT OBSERVER; SLIDING MODE OBSERVERS; NONLINEAR-SYSTEMS; TRACKING CONTROL; ACTUATOR FAULT; SENSOR; STATE;

D O I：

10.1080/00207721.2020.1746440

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 improved iterative observer for fault estimation of discrete-time T-S fuzzy systems is discussed in this paper. A discrete mean value convergence lemma is proposed firstly. Based on this lemma, a sequence of iterative observers are constructed to estimate the unknown fault. By choosing a general Lyapunov function, conditions for the resultant augmented system to be asymptotically stable with the required performance are built in the framework of linear matrix inequalities. With the established conditions, an iterative algorithm is developed to realise the fault estimation. A numerical example is provided to verify the effectiveness of the proposed method.

引用

页码：1007 / 1018

页数：12

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