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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/83501
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dc.contributor.authorWu, Z.-
dc.contributor.authorShi, P.-
dc.contributor.authorSu, H.-
dc.contributor.authorChu, J.-
dc.date.issued2011-
dc.identifier.citationNeurocomputing, 2011; 74(10):1626-1631-
dc.identifier.issn0925-2312-
dc.identifier.issn1872-8286-
dc.identifier.urihttp://hdl.handle.net/2440/83501-
dc.description.abstractIn this paper, we focus on the stability problem for discrete-time switched neural networks with time-varying delay resorting to the average dwell time method. In terms of linear matrix inequality approach, a delay-dependent sufficient condition of exponential stability is developed for a kind of switching signal with average dwell time. A numerical example is given to show the validness of the established result.-
dc.description.statementofresponsibilityZheng-Guang Wu, Peng Shi, Hongye Su, Jian Chu-
dc.language.isoen-
dc.publisherElsevier Science BV-
dc.rights© 2011 Elsevier B.V. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.neucom.2011.01.015-
dc.subjectSwitched neural networks-
dc.subjectTime-varying delays-
dc.subjectExponential stability-
dc.subjectAverage dwell time-
dc.subjectLinear matrix inequality (LMI)-
dc.titleDelay-dependent exponential stability analysis for discrete-time switched neural networks with time-varying delay-
dc.typeJournal article-
dc.identifier.doi10.1016/j.neucom.2011.01.015-
pubs.publication-statusPublished-
dc.identifier.orcidShi, P. [0000-0001-8218-586X]-
Appears in Collections:Aurora harvest 4
Electrical and Electronic Engineering publications

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