Robust filtering of markovian jump stochastic systems

Xiuming Yao, Ligang Wu, Wei Xing Zheng

Research output: Chapter in Book / Conference PaperChapterpeer-review

Abstract

This chapter investigates the problem of robust H filtering for a class of uncertain Markovian jump Ito stochastic systems. The system under consideration not only contains Ito-type stochastic disturbances and time-varying delays, but also involves uncertainties both in the system matrices and in the mode transition rate matrix. Our aim is to design an H filter such that, for all admissible parameter uncertainties and time-delays, the filtering error system can be guaranteed to be robustly stochastically stable, and achieve a prescribed H disturbance rejection attenuation level. By constructing a proper stochastic Lyapunov-Krasovskii functional and employing the free-weighting matrix technique, sufficient conditions for the existence of the desired filters are established in terms of LMIs, which can be readily solved by standard numerical software.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer International Publishing
Pages13-28
Number of pages16
DOIs
Publication statusPublished - 2016

Publication series

NameStudies in Systems, Decision and Control
Volume58
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

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