An improved robust stability result for uncertain neural networks with multiple time delays

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dc.authorid0000-0002-4390-5139
dc.contributor.authorArik, Sabrien_US
dc.date.accessioned2015-01-15T23:02:51Z
dc.date.available2015-01-15T23:02:51Z
dc.date.issued2014-06
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 a new alternative sufficient condition for the existence, uniqueness and global asymptotic stability of the equilibrium point for the class of delayed neural networks under the parameter uncertainties of the neural system. The existence and uniqueness of the equilibrium point is proved by using the Homomorphic mapping theorem. The asymptotic stability of the equilibrium point is established by employing the Lyapunov stability theorems. The obtained robust stability condition establishes a new relationship between the network parameters of the system. We compare our stability result with the previous corresponding robust stability results derived in the past literature. Some comparative numerical examples together with some simulation results are also given to show the applicability and advantages of our result.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationArik, S. (2014). An improved robust stability result for uncertain neural networks with multiple time delays. Neural Networks : The Official Journal of the International Neural Network Society, 54, 1-10. doi:10.1016/j.neunet.2014.02.008en_US
dc.identifier.doi10.1016/j.neunet.2014.02.008
dc.identifier.endpage10
dc.identifier.issn0893-6080
dc.identifier.issn1879-2782
dc.identifier.pmid24631885
dc.identifier.scopus2-s2.0-84896033434
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/533
dc.identifier.urihttp://dx.doi.org/10.1016/j.neunet.2014.02.008
dc.identifier.volume54
dc.identifier.wosWOS:000336345400001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_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.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofNeural Networksen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNeural networksen_US
dc.subjectDelayed systemsen_US
dc.subjectLyapunov functionalsen_US
dc.subjectStability analysisen_US
dc.subjectExponential stabilityen_US
dc.subjectVarying delaysen_US
dc.subjectDistributed delaysen_US
dc.subjectCriteriaen_US
dc.subjectDiscreteen_US
dc.subjectMatricesen_US
dc.subjectNormen_US
dc.titleAn improved robust stability result for uncertain neural networks with multiple time delaysen_US
dc.typeArticleen_US
dspace.entity.typePublication

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