Event-triggered ε level H∞ probabilistic control of uncertain systems
The Franklin Institute In this paper, a new event-trigger based probabilistic controller is designed using a scenario optimization approach for the robust stabilization of uncertain systems subject to nonlinear and unbounded uncertainties. Sufficient probabilistic stabilization conditions are derive...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/71029 |
| _version_ | 1848762370425356288 |
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| author | Yin, YanYan Liu, Y. Teo, Kok Lay Wang, Song Liu, F. |
| author_facet | Yin, YanYan Liu, Y. Teo, Kok Lay Wang, Song Liu, F. |
| author_sort | Yin, YanYan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The Franklin Institute In this paper, a new event-trigger based probabilistic controller is designed using a scenario optimization approach for the robust stabilization of uncertain systems subject to nonlinear and unbounded uncertainties. Sufficient probabilistic stabilization conditions are derived under which the closed-loop system is e level robust probabilistic stable. Based on these conditions, the design of the gains of the event-triggered state feedback controller is formulated and solved as an optimization problem involving linear matrix inequality. The applicability of theoretical results obtained is illustrated by a numerical example. |
| first_indexed | 2025-11-14T10:46:29Z |
| format | Journal Article |
| id | curtin-20.500.11937-71029 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:46:29Z |
| publishDate | 2018 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-710292019-04-30T05:24:46Z Event-triggered ε level H∞ probabilistic control of uncertain systems Yin, YanYan Liu, Y. Teo, Kok Lay Wang, Song Liu, F. The Franklin Institute In this paper, a new event-trigger based probabilistic controller is designed using a scenario optimization approach for the robust stabilization of uncertain systems subject to nonlinear and unbounded uncertainties. Sufficient probabilistic stabilization conditions are derived under which the closed-loop system is e level robust probabilistic stable. Based on these conditions, the design of the gains of the event-triggered state feedback controller is formulated and solved as an optimization problem involving linear matrix inequality. The applicability of theoretical results obtained is illustrated by a numerical example. 2018 Journal Article http://hdl.handle.net/20.500.11937/71029 10.1016/j.jfranklin.2018.11.008 Elsevier restricted |
| spellingShingle | Yin, YanYan Liu, Y. Teo, Kok Lay Wang, Song Liu, F. Event-triggered ε level H∞ probabilistic control of uncertain systems |
| title | Event-triggered ε level H∞ probabilistic control of uncertain systems |
| title_full | Event-triggered ε level H∞ probabilistic control of uncertain systems |
| title_fullStr | Event-triggered ε level H∞ probabilistic control of uncertain systems |
| title_full_unstemmed | Event-triggered ε level H∞ probabilistic control of uncertain systems |
| title_short | Event-triggered ε level H∞ probabilistic control of uncertain systems |
| title_sort | event-triggered ε level h∞ probabilistic control of uncertain systems |
| url | http://hdl.handle.net/20.500.11937/71029 |