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dc.contributor.authorShi, J.
dc.contributor.authorYin, YanYan
dc.contributor.authorLiu, F.
dc.date.accessioned2017-04-28T14:00:10Z
dc.date.available2017-04-28T14:00:10Z
dc.date.created2017-04-28T09:06:14Z
dc.date.issued2016
dc.identifier.citationShi, J. and Yin, Y. and Liu, F. 2016. Robust fault detection for discrete-time markovian jump linear systems with partly unknown transition probabilities, pp. 1862-1867.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/52837
dc.identifier.doi10.1109/ChiCC.2016.7553366
dc.description.abstract

© 2016 TCCT.The problem of robust fault detection (RFD) for discrete-time Markovian jump linear systems (MJLSs) with partly unknown transition probabilities is investigated in the paper. The RFD observer (RFDO) system and the dynamics of error generator are constructed. By introducing some free-weighting matrices, the proposed method leads to less conservatism compared with the existing ones. Moreover, the H8 performance index is proposed to minimize the influence of the unknown disturbances. Sufficient conditions on the existence of RFDO are established and given in terms of LMIs. Finally, a simulation example is given to illustrate that the proposed RFDO can detect the faults correctly and shortly after the occurrence.

dc.titleRobust fault detection for discrete-time markovian jump linear systems with partly unknown transition probabilities
dc.typeConference Paper
dcterms.source.volume2016-August
dcterms.source.startPage1862
dcterms.source.endPage1867
dcterms.source.titleChinese Control Conference, CCC
dcterms.source.seriesChinese Control Conference, CCC
dcterms.source.isbn9789881563910
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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