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dc.contributor.authorYin, Y.
dc.contributor.authorShi, Peng
dc.contributor.authorLiu, F.
dc.contributor.authorTeo, Kok Lay
dc.contributor.authorTeo, Kok Lay
dc.identifier.citationYin, 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.

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.publisherElsevier Inc
dc.subjectNonhomogeneous Markov jump processes
dc.subjectFuzzy fault detection
dc.subjectNonlinear stochastic systems
dc.titleA novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes
dc.typeJournal Article
dcterms.source.titleInformation Sciences
curtin.accessStatusFulltext not available

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