Robust state estimation for uncertain systems with averaged integral quadratic constraints
作者:
ANDREY V. SAVKIN,
IAN R. PETERSEN,
期刊:
International Journal of Control
(Taylor Available online 1996)
卷期:
Volume 64,
issue 5
页码: 923-939
ISSN:0020-7179
年代: 1996
DOI:10.1080/00207179608921665
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper considers a robust state estimation problem for a new class of uncertain systems. The new uncertainty class introduced in the paper involves structured uncertainties which are required to satisfy a certain averaged integral quadratic constraint. This uncertainty class combines aspects of norm-bounded and stochastic uncertainty descriptions. The solution to the robust state estimation problem is obtained by solving a parametrized Riccati differential equation of the game type.
点击下载:
PDF (274KB)
返 回