Delay-dependent fault estimation for uncertain time-delay nonlinear systems: An LMI approach

被引：94
|
作者：
Nguang, Sing Kiong
Shi, Peng
Ding, Steven
机构：
[1] Univ Auckland, Dept Elect & Comp Engn, Auckland 1, New Zealand
[2] Univ Glamorgan, Sch Technol, Pontypridd CF37 1DL, M Glam, Wales
[3] Univ Duisburg Essen, Inst Automat Control & Complex Syst AKS, Fac Engn, D-47057 Duisburg, Germany
来源：
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2006年 / 16卷 / 18期
关键词：
fuzzy system models; Lyapunov function; fault estimation;
D O I：
10.1002/rnc.1116
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 deals with the problem of robust fault estimation for uncertain time-delay Takagi-Sugeno (TS) fuzzy models. The aim of this study is to design a delay-dependent fault estimator ensuring a prescribed H-infinity performance level for the fault estimation error, irrespective of the uncertainties and the time delays. Sufficient conditions for the existence of a robust fault estimator are given in terms of linear matrix inequalities (LMIs). Membership functions' (MFs) characteristics are incorporated into the fault estimator design to reduce the conservativeness of neglecting these characteristics. Finally, a numerical example is given to illustrate the effectiveness of the proposed design techniques. Copyright (C) 2006 John Wiley & Sons, Ltd.
引用
收藏
页码：913 / 933
页数：21
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