A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes
| dc.contributor.author | Yin, Y. | |
| dc.contributor.author | Shi, Peng | |
| dc.contributor.author | Liu, F. | |
| dc.contributor.author | Teo, Kok Lay | |
| dc.contributor.author | Teo, Kok Lay | |
| dc.date.accessioned | 2017-01-30T14:10:31Z | |
| dc.date.available | 2017-01-30T14:10:31Z | |
| dc.date.created | 2015-06-29T20:00:51Z | |
| dc.date.issued | 2015 | |
| dc.identifier.citation | Yin, Y. and Shi, P. and Liu, F. and Teo, K.L. and Teo, K.L. 2015. A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes. Information Sciences. 292: pp. 198-213. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/37984 | |
| dc.identifier.doi | 10.1016/j.ins.2014.08.055 | |
| dc.description.abstract |
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. | |
| dc.publisher | Elsevier Inc | |
| dc.subject | Nonhomogeneous Markov jump processes | |
| dc.subject | Fuzzy fault detection | |
| dc.subject | Discrete-time | |
| dc.subject | Nonlinear stochastic systems | |
| dc.title | A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes | |
| dc.type | Journal Article | |
| dcterms.source.volume | 292 | |
| dcterms.source.startPage | 198 | |
| dcterms.source.endPage | 213 | |
| dcterms.source.issn | 0020-0255 | |
| dcterms.source.title | Information Sciences | |
| curtin.accessStatus | Fulltext not available |