Equilibrium and stability analysis of delayed neural networks under parameter uncertainties

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dc.authorid0000-0002-7621-4350
dc.authorid0000-0002-4390-5139
dc.contributor.authorFaydasıçok, Özlemen_US
dc.contributor.authorArik, Sabrien_US
dc.date.accessioned2015-01-15T23:02:05Z
dc.date.available2015-01-15T23:02:05Z
dc.date.issued2012-02-15
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractThis paper proposes new results for the existence, uniqueness and global asymptotic stability of the equilibrium point for neural networks with multiple time delays under parameter uncertainties. By using Lyapunov stability theorem and applying homeomorphism mapping theorem, new delay-independent stability criteria are obtained. The obtained results are in terms of network parameters of the neural system only and therefore they can be easily checked. We also present some illustrative numerical examples to demonstrate that our result are new and improve corresponding results derived in the previous literature.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationFaydasıçok, Ö. & Arik, S. (2012). Equilibrium and stability analysis of delayed neural networks under parameter uncertainties. Applied Mathematics and Computation, 218(12), 6716-6726. doi:10.1016/j.amc.2011.12.036en_US
dc.identifier.doi10.1016/j.amc.2011.12.036
dc.identifier.endpage6726
dc.identifier.issn0096-3003
dc.identifier.issn1873-5649
dc.identifier.issue12
dc.identifier.scopus2-s2.0-84856386970
dc.identifier.scopusqualityQ1
dc.identifier.startpage6716
dc.identifier.urihttps://hdl.handle.net/11729/456
dc.identifier.urihttp://dx.doi.org/10.1016/j.amc.2011.12.036
dc.identifier.volume218
dc.identifier.wosWOS:000299847700011
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorArik, Sabrien_US
dc.institutionauthorid0000-0002-4390-5139
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofApplied Mathematics and Computationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMathematicsen_US
dc.subjectStability analysisen_US
dc.subjectDelayed neural networksen_US
dc.subjectInterval matricesen_US
dc.subjectLyapunov functionalsen_US
dc.subjectTime-varying delaysen_US
dc.subjectGlobal robust stabilityen_US
dc.subjectExponential stabilityen_US
dc.subjectDistributed delaysen_US
dc.subjectNeutral-typeen_US
dc.subjectDiscreteen_US
dc.subjectCriteriaen_US
dc.titleEquilibrium and stability analysis of delayed neural networks under parameter uncertaintiesen_US
dc.typeArticleen_US
dspace.entity.typePublication

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