New sufficient criteria for global robust stability of neural networks with multiple time delays

Basit Öğe Kaydı
dc.authorid0000-0003-1979-8860
dc.authorid0000-0002-4390-5139
dc.contributor.authorYücel, Eylemen_US
dc.contributor.authorArık, Sabrien_US
dc.date.accessioned2020-09-23T07:24:04Z
dc.date.available2020-09-23T07:24:04Z
dc.date.issued2012
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractIn this paper, we study global robust asymptotic stability of the equilibrium point for neural networks with multiple time delays. By employing suitable Lyapunov functionals, we derive a set of delay independent sufficient conditions for global robust asymptotic stability of this class of neural networks. Some examples are constructed to compare the reported results with the related existing results. This comparison proves that our results establish a new set of robust stability criteria for delayed neural networks. It is also demonstrated that the reported results can be easily verified as they can be expressed in terms of the network parameters only.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationYücel, E. & Arık, S. (2012). New sufficient criteria for global robust stability of neural networks with multiple time delays. TWMS Journal Of Applied And Engineering Mathematics, 2(1), 1-18.en_US
dc.identifier.endpage18
dc.identifier.issn2146-1147
dc.identifier.issn2587-1013
dc.identifier.issue1
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/2443
dc.identifier.urihttp://jaem.isikun.edu.tr/web/index.php/archive/85-vol2no1/144
dc.identifier.volume2
dc.identifier.wosWOS:000218992700002
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakEmerging Sources Citation Index (ESCI)en_US
dc.institutionauthorArık, Sabrien_US
dc.institutionauthorid0000-0002-4390-5139
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIşık University Pressen_US
dc.relation.ispartofTWMS Journal Of Applied And Engineering Mathematicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectNeural networksen_US
dc.subjectRobust stabilityen_US
dc.subjectDelayed systemsen_US
dc.subjectLyapunov functionalsen_US
dc.subjectInterval matricesen_US
dc.titleNew sufficient criteria for global robust stability of neural networks with multiple time delaysen_US
dc.typeArticleen_US
dspace.entity.typePublication

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Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü
JAEM 2012, Vol 2, No 1
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