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
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
相关论文
共 22 条
[1]  
[Anonymous], P IFAC IMACS S SAFEP
[2]   H∞ filtering for fuzzy singularly perturbed systems with pole placement constraints:: An LMI approach [J].
Assawinchaichote, W ;
Nguang, SK .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2004, 52 (06) :1659-1667
[3]   DETECTING CHANGES IN SIGNALS AND SYSTEMS - A SURVEY [J].
BASSEVILLE, M .
AUTOMATICA, 1988, 24 (03) :309-326
[4]  
Chen BS, 2000, IEEE T FUZZY SYST, V8, P249, DOI 10.1109/91.855915
[5]   ANALYTICAL REDUNDANCY AND THE DESIGN OF ROBUST FAILURE-DETECTION SYSTEMS [J].
CHOW, EY ;
WILLSKY, AS .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1984, 29 (07) :603-614
[6]  
Ding SX, 2000, INT J ADAPT CONTROL, V14, P725, DOI 10.1002/1099-1115(200011)14:7<725::AID-ACS618>3.0.CO
[7]  
2-Q
[8]   FAULT-DIAGNOSIS IN DYNAMIC-SYSTEMS USING ANALYTICAL AND KNOWLEDGE-BASED REDUNDANCY - A SURVEY AND SOME NEW RESULTS [J].
FRANK, PM .
AUTOMATICA, 1990, 26 (03) :459-474
[9]  
HENGY D, 1986, P IFAC WORKSH FAULT, P153
[10]   PROCESS FAULT-DETECTION BASED ON MODELING AND ESTIMATION METHODS - A SURVEY [J].
ISERMANN, R .
AUTOMATICA, 1984, 20 (04) :387-404