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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/96623
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dc.contributor.authorZhou, W.-
dc.contributor.authorZhu, Q.-
dc.contributor.authorShi, P.-
dc.contributor.authorSu, H.-
dc.contributor.authorFang, J.-
dc.contributor.authorZhou, L.-
dc.date.issued2014-
dc.identifier.citationIEEE Transactions on Cybernetics, 2014; 44(12):2848-2860-
dc.identifier.issn2168-2267-
dc.identifier.issn2168-2275-
dc.identifier.urihttp://hdl.handle.net/2440/96623-
dc.description.abstractIn this paper, the problem of adaptive synchronization is investigated for stochastic neural networks of neutral-type with Markovian switching parameters. Using the M-matrix approach and the stochastic analysis method, some sufficient conditions are obtained to ensure three kinds of adaptive synchronization for the stochastic neutral-type neural networks. These three kinds of adaptive synchronization include the almost sure asymptotical synchronization, exponential synchronization in p th moment and almost sure exponential synchronization. Some numerical examples are provided to illustrate the effectiveness and potential of the proposed design techniques.-
dc.description.statementofresponsibilityWuneng Zhou, Qingyu Zhu, Peng Shi, Hongye Su, Jian’an Fang, and Liuwei Zhou-
dc.language.isoen-
dc.publisherIEEE-
dc.rights© 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.-
dc.source.urihttp://dx.doi.org/10.1109/tcyb.2014.2317236-
dc.subjectAdaptive synchronization; M-matrix; Markovian switching; neutral-type neural network-
dc.titleAdaptive synchronization for neutral-type neural networks with stochastic perturbation and Markovian switching parameters-
dc.typeJournal article-
dc.identifier.doi10.1109/TCYB.2014.2317236-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP140102180-
pubs.publication-statusPublished-
dc.identifier.orcidShi, P. [0000-0001-8218-586X]-
Appears in Collections:Aurora harvest 7
Electrical and Electronic Engineering publications

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