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dc.contributor.authorChen, F.
dc.contributor.authorYin, YanYan
dc.contributor.authorLiu, F.
dc.date.accessioned2017-04-28T13:58:32Z
dc.date.available2017-04-28T13:58:32Z
dc.date.created2017-04-28T09:06:14Z
dc.date.issued2014
dc.identifier.citationChen, F. and Yin, Y. and Liu, F. 2014. Robust fault detection of Markovian jump systems with partly unknown transition probabilities. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics. 36 (9): pp. 1819-1825.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/52361
dc.identifier.doi10.3969/j.issn.1001-506X.2014.09.24
dc.description.abstract

A linear full-order robust fault detection observer is designed to solve the robust fault detection problem of Markovian jump systems with partly unknown transition probabilities. Free-connection weighting matrices are introduced to robust fault detection observer design, which reduces the conservatism caused by fixed-connection weighting matrices. A series of linear matrix inequalities (LMIs) which ensure the system's stochastic asymptotic stability are obtained by using the constructed Lyapunov function. Based on that, a sufficient condition for the existence of the robust fault detection observer system is given and proved. Furthermore, an optimization design approach is also derived. A simulation example is given to show that the designed robust fault detection observer can not only detect the faults quickly and sensitively, but also respond robustly to unknown disturbances.

dc.titleRobust fault detection of Markovian jump systems with partly unknown transition probabilities
dc.typeJournal Article
dcterms.source.volume36
dcterms.source.number9
dcterms.source.startPage1819
dcterms.source.endPage1825
dcterms.source.issn1001-506X
dcterms.source.titleXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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