Robust filtering, prediction, smoothing and observability of uncertain systems

被引：0
|
作者：
Moheimani, SOR
Savkin, AV
Petersen, IR
机构：
来源：
PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 | 1996年
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D O I：
暂无
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 paper is concerned with a class of continuous-time uncertain systems which satisfy a certain Integral Quadratic Constraint. The problems of robust filtering, robust prediction and robust smoothing for such systems are defined and non-conservative solutions are given in terms of Riccati differential equations. The paper also adresses a problem of robust observability for this class of uncertain systems.
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收藏
页码：4794 / 4799
页数：6
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