On Component-wise Asymptotic Moment Stability of Continuous-time Markov Jump Linear Systems

Shenyu Liu*, Penghui Wen

*Corresponding author for this work

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

Abstract

In addition to the known stochastic stability properties of asymptotic moment stability and almost sure global asymptotic stability for continous-time Markov jump linear systems, in this work, we propose component-wise asymptotic moment stability and study the relations between these stochastic stability properties. Next, we show that the component-wise 1st and 2nd moments of a Markov jump linear system can be precisely computed by solving linear ordinary differential equations. Consequently, necessary and sufficient conditions for component-wise asymptotic 1st and 2 nd moment stability are obtained. Lastly, we test stochastic stability of several numerical examples via our criteria, one of which consists of all unstable flow and all unstable jumps, yet has all the stochastic stability properties aforementioned.

Original languageEnglish
Title of host publication2024 IEEE 63rd Conference on Decision and Control, CDC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5912-5917
Number of pages6
ISBN (Electronic)9798350316339
DOIs
Publication statusPublished - 2024
Event63rd IEEE Conference on Decision and Control, CDC 2024 - Milan, Italy
Duration: 16 Dec 202419 Dec 2024

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference63rd IEEE Conference on Decision and Control, CDC 2024
Country/TerritoryItaly
CityMilan
Period16/12/2419/12/24

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