Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/112952
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dc.contributor.authorDong, S.en
dc.contributor.authorWu, Z.en
dc.contributor.authorShi, P.en
dc.contributor.authorSu, H.en
dc.contributor.authorHuang, T.en
dc.date.issued2018en
dc.identifier.citationIEEE Transactions on Cybernetics, 2018; OnlinePubl:1-11en
dc.identifier.issn2168-2267en
dc.identifier.issn2168-2275en
dc.identifier.urihttp://hdl.handle.net/2440/112952-
dc.description.abstractThis paper considers the problem of asynchronous guaranteed cost control (GCC) for nonlinear Markov jump systems with stochastic quantization. Hidden Markov model is used to describe the nonsynchronous controller and the random quantization phenomenon. Based on Takagi–Sugeno fuzzy technique and Lyapunov function approach, a sufficient condition is obtained, which can not only ensure the asymptotic stability of the closed-loop system and existence of the desired controller, but also can yield the minimal upper bound of GCC performance. Finally, two examples are provided to demonstrate the correctness and reliability of our developed approaches.en
dc.description.statementofresponsibilityShanling Dong, Zheng-Guang Wu, Peng Shi, Hongye Su, and Tingwen Huangen
dc.language.isoenen
dc.publisherIEEEen
dc.rights© 2018 IEEEen
dc.subjectAsynchronous controller; hidden Markov model (HMM); random quantization; Takagi–Sugeno (T–S) fuzzy techniqueen
dc.titleQuantized control of Markov jump nonlinear systems based on fuzzy hidden Markov modelen
dc.typeJournal articleen
dc.identifier.rmid0030084950en
dc.identifier.doi10.1109/TCYB.2018.2813279en
dc.relation.granthttp://purl.org/au-research/grants/arc/DP170102644en
dc.identifier.pubid404430-
pubs.library.collectionElectrical and Electronic Engineering publicationsen
pubs.library.teamDS03en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
Appears in Collections:Electrical and Electronic Engineering publications

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