Gain-scheduled fault detection on stochastic nonlinear systems with partially known transition jump rates
In this paper, the problem of continuous gain-scheduled fault detection (FD) is studied for a class of stochastic nonlinear systems which possesses partially known jump rates. Initially, by using gradient linearization approach, the nonlinear stochastic system is described by a series of linear jump...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Pergamon, Elsevier Ltd
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/52409 |
| _version_ | 1848758919490437120 |
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| author | Yin, YanYan Shi, P. Liu, F. Pan, J. |
| author_facet | Yin, YanYan Shi, P. Liu, F. Pan, J. |
| author_sort | Yin, YanYan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, the problem of continuous gain-scheduled fault detection (FD) is studied for a class of stochastic nonlinear systems which possesses partially known jump rates. Initially, by using gradient linearization approach, the nonlinear stochastic system is described by a series of linear jump models at some selected working points. Subsequently, observer-based residual generator is constructed for each jump linear system. Then, a new observer-design method is proposed for each re-constructed system to design H8 observers that minimize the influences of the disturbances, and to formulate a new performance index that increase the sensitivity to faults. Finally, continuous gain-scheduled approach is employed to design continuous FD observers on the whole nonlinear stochastic system. Simulation example is given to show the effectiveness and potential of the developed techniques. © 2011 Elsevier Ltd. All rights reserved. |
| first_indexed | 2025-11-14T09:51:38Z |
| format | Journal Article |
| id | curtin-20.500.11937-52409 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:51:38Z |
| publishDate | 2012 |
| publisher | Pergamon, Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-524092017-09-13T15:39:22Z Gain-scheduled fault detection on stochastic nonlinear systems with partially known transition jump rates Yin, YanYan Shi, P. Liu, F. Pan, J. In this paper, the problem of continuous gain-scheduled fault detection (FD) is studied for a class of stochastic nonlinear systems which possesses partially known jump rates. Initially, by using gradient linearization approach, the nonlinear stochastic system is described by a series of linear jump models at some selected working points. Subsequently, observer-based residual generator is constructed for each jump linear system. Then, a new observer-design method is proposed for each re-constructed system to design H8 observers that minimize the influences of the disturbances, and to formulate a new performance index that increase the sensitivity to faults. Finally, continuous gain-scheduled approach is employed to design continuous FD observers on the whole nonlinear stochastic system. Simulation example is given to show the effectiveness and potential of the developed techniques. © 2011 Elsevier Ltd. All rights reserved. 2012 Journal Article http://hdl.handle.net/20.500.11937/52409 10.1016/j.nonrwa.2011.07.043 Pergamon, Elsevier Ltd restricted |
| spellingShingle | Yin, YanYan Shi, P. Liu, F. Pan, J. Gain-scheduled fault detection on stochastic nonlinear systems with partially known transition jump rates |
| title | Gain-scheduled fault detection on stochastic nonlinear systems with partially known transition jump rates |
| title_full | Gain-scheduled fault detection on stochastic nonlinear systems with partially known transition jump rates |
| title_fullStr | Gain-scheduled fault detection on stochastic nonlinear systems with partially known transition jump rates |
| title_full_unstemmed | Gain-scheduled fault detection on stochastic nonlinear systems with partially known transition jump rates |
| title_short | Gain-scheduled fault detection on stochastic nonlinear systems with partially known transition jump rates |
| title_sort | gain-scheduled fault detection on stochastic nonlinear systems with partially known transition jump rates |
| url | http://hdl.handle.net/20.500.11937/52409 |