Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/113796
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dc.contributor.authorShen, Y.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 Systems Man and Cybernetics: Systems, 2018; 49(2):433-443en
dc.identifier.issn2168-2216en
dc.identifier.issn2168-2232en
dc.identifier.urihttp://hdl.handle.net/2440/113796-
dc.description.abstractIn this paper, an asynchronous filter is proposed for Markov jump neural networks (NNs) with time delay and quantized measurements where a logarithmic quantizer is employed. The filter and quantizer are both mode-dependent and their modes are asynchronous with that of the NN, which is described by hidden Markov models. By the Lyapunov–Krasovskii functional approach, a sufficient condition is derived and a filter is then designed such that the filtering error dynamics are stochastically mean square stable and strictly (U ,S, V )-dissipative. Finally, the effectiveness and practicability of the theoretical results are verified by two examples, including a biological network.en
dc.description.statementofresponsibilityYing Shen, Zheng-Guang Wu, Peng Shi, Hongye Su, and Tingwen Huangen
dc.language.isoenen
dc.publisherIEEEen
dc.rights© 2018 IEEEen
dc.subjectAsynchronous filter; asynchronous quantization; dissipativity; hidden Markov model; Markov jump neural networks (MJNNs)en
dc.titleAsynchronous filtering for Markov jump neural networks with quantized outputsen
dc.typeJournal articleen
dc.identifier.rmid0030083065en
dc.identifier.doi10.1109/TSMC.2017.2789180en
dc.relation.granthttp://purl.org/au-research/grants/arc/DP170102644en
dc.identifier.pubid397860-
pubs.library.collectionElectrical and Electronic Engineering publicationsen
pubs.library.teamDS03en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidShi, P. [0000-0001-8218-586X]en
Appears in Collections:Electrical and Electronic Engineering publications

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