Stochastic stability analysis of periodic uncertain markov jump systems with partially known information

© 2017 ISSN 1881-803X. In this paper, the issue of stochastic stability and stabilization of periodic Markov jump systems with uncertain transition probabilities and parameters is investigated. The partially unknown transition probability matrix is described as a polytope with uncertain vertices. By...

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Main Authors: Zhu, L., Yin, YanYan, Liu, Y., Liu, F.
Format: Journal Article
Published: ICIC International 2017
Online Access:http://hdl.handle.net/20.500.11937/58048
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author Zhu, L.
Yin, YanYan
Liu, Y.
Liu, F.
author_facet Zhu, L.
Yin, YanYan
Liu, Y.
Liu, F.
author_sort Zhu, L.
building Curtin Institutional Repository
collection Online Access
description © 2017 ISSN 1881-803X. In this paper, the issue of stochastic stability and stabilization of periodic Markov jump systems with uncertain transition probabilities and parameters is investigated. The partially unknown transition probability matrix is described as a polytope with uncertain vertices. By constructing a Lyapunov function, sufficient conditions are established under which the system is stochastically stable. Numerical example is given to show the effectiveness of the method proposed.
first_indexed 2025-11-14T10:11:26Z
format Journal Article
id curtin-20.500.11937-58048
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:11:26Z
publishDate 2017
publisher ICIC International
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-580482017-11-20T08:50:07Z Stochastic stability analysis of periodic uncertain markov jump systems with partially known information Zhu, L. Yin, YanYan Liu, Y. Liu, F. © 2017 ISSN 1881-803X. In this paper, the issue of stochastic stability and stabilization of periodic Markov jump systems with uncertain transition probabilities and parameters is investigated. The partially unknown transition probability matrix is described as a polytope with uncertain vertices. By constructing a Lyapunov function, sufficient conditions are established under which the system is stochastically stable. Numerical example is given to show the effectiveness of the method proposed. 2017 Journal Article http://hdl.handle.net/20.500.11937/58048 ICIC International restricted
spellingShingle Zhu, L.
Yin, YanYan
Liu, Y.
Liu, F.
Stochastic stability analysis of periodic uncertain markov jump systems with partially known information
title Stochastic stability analysis of periodic uncertain markov jump systems with partially known information
title_full Stochastic stability analysis of periodic uncertain markov jump systems with partially known information
title_fullStr Stochastic stability analysis of periodic uncertain markov jump systems with partially known information
title_full_unstemmed Stochastic stability analysis of periodic uncertain markov jump systems with partially known information
title_short Stochastic stability analysis of periodic uncertain markov jump systems with partially known information
title_sort stochastic stability analysis of periodic uncertain markov jump systems with partially known information
url http://hdl.handle.net/20.500.11937/58048