Norm invariant discretization for sampled-data fault detection

被引：35

作者：

Izadi, I ^{[1
]}

Chen, TW ^{[1
]}

Zhao, Q ^{[1
]}

机构：

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

来源：

AUTOMATICA | 2005年 / 41卷 / 09期

基金：

加拿大自然科学与工程研究理事会;

关键词：

fault detection; residual generation; discretization; sampled-data systems;

D O I：

10.1016/j.automatica.2005.03.028

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the problem of fault detection in sampled-data systems is studied. It is shown that norms of a sampled system are equal to the corresponding norms of a certain discrete time system. Based on this discretization, the sampled-data fault detection problem can be converted to an equivalent discrete-time problem. A framework that unifies the H-2 and optimal residual generators in sampled-data systems is then proposed. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：1633 / 1637

页数：5

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