Robust filtering for continuous-time stochastic uncertain systems with relative entropy constraints

V. A. Ugrinovskii, I. R. Petersen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we consider a filtering problem for stochastic uncertain systems. The uncertainty in the system is characterized in terms of an uncertain probability distribution on the noise input. This uncertainty is assumed to satisfy a certain relative entropy constraint. The solution to a specially parametrized risk-sensitive stochastic filtering problem is used to construct a filter for the uncertain system which guarantees a certain upper bound on the filtering error. This solution is obtained by solving a pair of algebraic Riccati equations. The corresponding filtering error bound holds for all admissible uncertainties.

Original languageEnglish
Title of host publicationEuropean Control Conference, ECC 1999 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2916-2921
Number of pages6
ISBN (Electronic)9783952417355
DOIs
Publication statusPublished - 24 Mar 2015
Externally publishedYes
Event1999 European Control Conference, ECC 1999 - Karlsruhe, Germany
Duration: 31 Aug 19993 Sept 1999

Publication series

NameEuropean Control Conference, ECC 1999 - Conference Proceedings

Conference

Conference1999 European Control Conference, ECC 1999
Country/TerritoryGermany
CityKarlsruhe
Period31/08/993/09/99

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