Resilient linear filtering of uncertain systems

被引：101

作者：

Mahmoud, MS ^{[1
]}

机构：

[1] UAE Univ, Fac Engn, Al Ain, U Arab Emirates

来源：

AUTOMATICA | 2004年 / 40卷 / 10期

关键词：

uncertain systems; norm-bounded uncertainties; resilient filtering; robust linear filter;

D O I：

10.1016/j.automatica.2004.05.007

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 resilient linear filtering for a class of linear continuous-time systems with norm-bounded uncertainties is investigated. We have considered additive filter gain variations to reflect the imprecision in filter implementation. The design problem of resilient linear filter is formulated as a convex optimization problem over linear matrix inequalities. As a limiting procedure, the case of resilient Kalman filter is derived. All the developed results are conveniently extended to the case of multiplicative filter gain variations. Simulation studies are carried out to support the theoretical findings. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：1797 / 1802

页数：6

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