Stochastic stability analysis of integral non-homogeneous Markov jump systems
This paper investigates the problem of stability analysis for time-delay integral Markov jump systems with time-varying transition rates. Some free-weight matrices are addressed and sufficient conditions are established under which the system is stochastically stable. The bound of delay is larger th...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Taylor and Francis
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/60609 |
| _version_ | 1848760620131811328 |
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| author | Yin, YanYan Zhu, L. Zeng, H. Liu, Y. Liu, F. |
| author_facet | Yin, YanYan Zhu, L. Zeng, H. Liu, Y. Liu, F. |
| author_sort | Yin, YanYan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper investigates the problem of stability analysis for time-delay integral Markov jump systems with time-varying transition rates. Some free-weight matrices are addressed and sufficient conditions are established under which the system is stochastically stable. The bound of delay is larger than those in other results obtained, which guarantees that the proposed conditions are tighter. Numerical examples show the effectiveness of the method proposed. |
| first_indexed | 2025-11-14T10:18:40Z |
| format | Journal Article |
| id | curtin-20.500.11937-60609 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:18:40Z |
| publishDate | 2017 |
| publisher | Taylor and Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-606092018-05-22T01:22:32Z Stochastic stability analysis of integral non-homogeneous Markov jump systems Yin, YanYan Zhu, L. Zeng, H. Liu, Y. Liu, F. This paper investigates the problem of stability analysis for time-delay integral Markov jump systems with time-varying transition rates. Some free-weight matrices are addressed and sufficient conditions are established under which the system is stochastically stable. The bound of delay is larger than those in other results obtained, which guarantees that the proposed conditions are tighter. Numerical examples show the effectiveness of the method proposed. 2017 Journal Article http://hdl.handle.net/20.500.11937/60609 10.1080/00207721.2017.1410252 Taylor and Francis restricted |
| spellingShingle | Yin, YanYan Zhu, L. Zeng, H. Liu, Y. Liu, F. Stochastic stability analysis of integral non-homogeneous Markov jump systems |
| title | Stochastic stability analysis of integral non-homogeneous Markov jump systems |
| title_full | Stochastic stability analysis of integral non-homogeneous Markov jump systems |
| title_fullStr | Stochastic stability analysis of integral non-homogeneous Markov jump systems |
| title_full_unstemmed | Stochastic stability analysis of integral non-homogeneous Markov jump systems |
| title_short | Stochastic stability analysis of integral non-homogeneous Markov jump systems |
| title_sort | stochastic stability analysis of integral non-homogeneous markov jump systems |
| url | http://hdl.handle.net/20.500.11937/60609 |