New passivity results for uncertain discrete-time stochastic neural networks with mixed time delays

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dc.contributor.authorLi, H.
dc.contributor.authorWang, C.
dc.contributor.authorShi, P.
dc.contributor.authorGao, H.
dc.date.issued2010
dc.description.abstractThis paper investigates the problem of passivity analysis for a class of uncertain discrete-time stochastic neural networks with mixed time delays. Here the mixed time delays are assumed to be discrete and distributed time delays and the uncertainties are assumed to be time-varying norm-bounded parameter uncertainties. By constructing a novel Lyapunov functional and introducing some appropriate free-weighting matrices, delay-dependent passivity analysis criteria are derived. Furthermore, the additional useful terms about the discrete time-varying delay will be handled by estimating the upper bound of the derivative of Lyapunov functionals, which is different from the existing passivity results. These criteria can be developed in the frame of convex optimization problems and then solved via standard numerical software. Finally, a numerical example is given to demonstrate the effectiveness of the proposed results. © 2010 Elsevier B.V.
dc.description.statementofresponsibilityHongyi Li, Chuan Wang, Peng Shi, Huijun Gao
dc.identifier.citationNeurocomputing, 2010; 73(16):3291-3299
dc.identifier.doi10.1016/j.neucom.2010.04.019
dc.identifier.issn0925-2312
dc.identifier.issn1872-8286
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.urihttp://hdl.handle.net/2440/84787
dc.language.isoen
dc.publisherElsevier
dc.rightsCopyright © 2010 Elsevier B.V. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.neucom.2010.04.019
dc.subjectDistributed delays; Discrete neural networks; Passivity; Stochastic disturbances
dc.titleNew passivity results for uncertain discrete-time stochastic neural networks with mixed time delays
dc.typeJournal article
pubs.publication-statusPublished

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