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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.

 

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