LMI-based sensor fault diagnosis for nonlinear Lipschitz systems

被引：119

作者：

Pertew, A. M. ^{[1
]}

Marquez, H. J. ^{[1
]}

Zhao, Q. ^{[1
]}

机构：

[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada

来源：

AUTOMATICA | 2007年 / 43卷 / 08期

关键词：

dynamic observers; Lipschitz systems; faults; sensors; LMI;

D O I：

10.1016/j.automatica.2007.01.015

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of sensor fault diagnosis in the class of nonlinear Lipschitz systems is considered. A dynamic observer structure is used with the objective to make the residual converge to the faults vector achieving detection and estimation at the same time. It is shown that, unlike the classical constant gain structure, this objective is achievable by minimizing the faults effect on the estimation error of the dynamic observer. The use of appropriate weightings to solve the design problem in a standard convex optimization framework is also demonstrated. An LMI design procedure solvable using commercially available software is presented. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：1464 / 1469

页数：6

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