Publication:
Exponential synchronization of master-slave neural networks with mixed time-varying delays via hybrid intermittent feedback control

dc.contributor.authorBotmart T.
dc.date.accessioned2021-04-05T03:32:26Z
dc.date.available2021-04-05T03:32:26Z
dc.date.issued2014
dc.date.issuedBE2557
dc.description.abstractIn this paper, we investigate the problem of exponential synchronization for master-slave neural networks with mixed time-varying delays via hybrid intermittent feedback control. The constraint on the derivative of the time-varying delay is not required which allows the time-delay to be a fast time-varying function. Based on the construction of improved Lyapunov-Krasovskii functionals is combined with Leibniz-Newtons formula and the technique of dealing with some integral terms. New delay-dependent sufficient conditions for the exponential synchronization of the error systems with memoryless hybrid feedback control are first established in terms of LMIs without introducing any free-weighting matrices. The designed controller ensures that the synchronization of the error systems are proposed via hybrid intermittent feedback control. Numerical simulations are presented to illustrate the effectiveness of these synchronization criteria. © 2014 Academic Publications, Ltd.
dc.format.mimetypeapplication/pdf
dc.identifier.citationInternational Journal of Pure and Applied Mathematics. Vol 96, No.1 (2014), p.59-78
dc.identifier.doi10.12732/ijpam.v96i1.6
dc.identifier.issn13118080
dc.identifier.other2-s2.0-84907849040
dc.identifier.urihttps://hdl.handle.net/20.500.14740/6320
dc.rights.holderScopus
dc.titleExponential synchronization of master-slave neural networks with mixed time-varying delays via hybrid intermittent feedback control
dc.typeArticle
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84907849040&doi=10.12732%2fijpam.v96i1.6&partnerID=40&md5=61ee1c48c833287aca4ee08c9815beeb

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