A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes
In this paper, we consider a class of fuzzy stochastic systems with nonhomogeneous jump processes. Our focus is on the design of a fuzzy fault detection filter that is sensitive to faults but robust against unknown inputs. Furthermore, the error filtering system is stochastically stable. With refere...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier Inc
2015
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/37984 |
| _version_ | 1848755197224943616 |
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| author | Yin, Y. Shi, Peng Liu, F. Teo, Kok Lay Teo, Kok Lay |
| author_facet | Yin, Y. Shi, Peng Liu, F. Teo, Kok Lay Teo, Kok Lay |
| author_sort | Yin, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we consider a class of fuzzy stochastic systems with nonhomogeneous jump processes. Our focus is on the design of a fuzzy fault detection filter that is sensitive to faults but robust against unknown inputs. Furthermore, the error filtering system is stochastically stable. With reference to an H1 performance index and a new performance index, sufficient conditions to ensure the existence of a fuzzy robust fault detection filter are derived. Simulation studies are carried out, showing that the proposed fuzzy robust FD filter can rapidly detect the faults correctly. |
| first_indexed | 2025-11-14T08:52:28Z |
| format | Journal Article |
| id | curtin-20.500.11937-37984 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:52:28Z |
| publishDate | 2015 |
| publisher | Elsevier Inc |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-379842017-09-13T14:14:26Z A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes Yin, Y. Shi, Peng Liu, F. Teo, Kok Lay Teo, Kok Lay Nonhomogeneous Markov jump processes Fuzzy fault detection Discrete-time Nonlinear stochastic systems In this paper, we consider a class of fuzzy stochastic systems with nonhomogeneous jump processes. Our focus is on the design of a fuzzy fault detection filter that is sensitive to faults but robust against unknown inputs. Furthermore, the error filtering system is stochastically stable. With reference to an H1 performance index and a new performance index, sufficient conditions to ensure the existence of a fuzzy robust fault detection filter are derived. Simulation studies are carried out, showing that the proposed fuzzy robust FD filter can rapidly detect the faults correctly. 2015 Journal Article http://hdl.handle.net/20.500.11937/37984 10.1016/j.ins.2014.08.055 Elsevier Inc restricted |
| spellingShingle | Nonhomogeneous Markov jump processes Fuzzy fault detection Discrete-time Nonlinear stochastic systems Yin, Y. Shi, Peng Liu, F. Teo, Kok Lay Teo, Kok Lay A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes |
| title | A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes |
| title_full | A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes |
| title_fullStr | A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes |
| title_full_unstemmed | A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes |
| title_short | A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes |
| title_sort | novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes |
| topic | Nonhomogeneous Markov jump processes Fuzzy fault detection Discrete-time Nonlinear stochastic systems |
| url | http://hdl.handle.net/20.500.11937/37984 |