Fault detection of uncertain systems based on probabilistic robustness theory

被引：6

作者：

Zhang, P ^{[1
]}

Ding, SX ^{[1
]}

Sader, M ^{[1
]}

Noack, R ^{[1
]}

机构：

[1] Univ Duisburg Gesamthsch, Inst Automat Control & Complex Syst, D-47048 Duisburg, Germany

来源：

ACC: PROCEEDINGS OF THE 2005 AMERICAN CONTROL CONFERENCE, VOLS 1-7 | 2005年

关键词：

DESIGN; ALGORITHMS;

D O I：

10.1109/ACC.2005.1470204

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 studies the fault detection problem of uncertain linear systems with arbitrary uncertainty structure. With the aid of probabilistic robustness technique, an approach is developed to determine parameters of observer-based residual generators by incorporating probability distribution of model uncertainty in the design. One advantage of the approach is that it needs no assumptions on the structure of model uncertainty. Examples are given to illustrate the proposed design procedure.

引用

页码：1648 / 1653

页数：6

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