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dc.contributor.authorArik, Sabri
dc.contributor.authorYUCEL, ESRA
dc.date.accessioned2021-03-04T08:23:45Z
dc.date.available2021-03-04T08:23:45Z
dc.identifier.citationYUCEL E., Arik S., "New exponential stability results for delayed neural networks with time varying delays", PHYSICA D-NONLINEAR PHENOMENA, cilt.191, ss.314-322, 2004
dc.identifier.issn0167-2789
dc.identifier.othervv_1032021
dc.identifier.otherav_630dcd80-6f18-44af-b5d6-e7c52dda37cd
dc.identifier.urihttp://hdl.handle.net/20.500.12627/68979
dc.identifier.urihttps://doi.org/10.1016/j.physd.2003.11.010
dc.description.abstractThis paper presents new sufficient conditions for the uniqueness and exponential stability of the equilibrium point for delayed neural networks with time varying delays. By employing a more general type of Lyapunov-Krasovskii functional and using LMI (linear matrix inequality), we derive new results for exponential stability of the equilibrium point for delayed neural networks. The results establish a relation between the delay time and the parameters of the network. The results are compared with the previous results derived in the literature. (C) 2003 Elsevier B.V. All rights reserved.
dc.language.isoeng
dc.subjectBilgisayar Bilimleri
dc.subjectDisiplinlerarası Fizik ve İlgili Bilim ve Teknoloji Alanları
dc.subjectGazlar, Plazmalar ve Elektriksel Boşalmalar Fiziği
dc.subjectGenel Fizik
dc.subjectTemel Bilimler (SCI)
dc.subjectFİZİK, MATEMATİK
dc.subjectFizik
dc.subjectFİZİK, SIVI VE PLAZMALAR
dc.subjectFİZİK, MULTİDİSİPLİNER
dc.subjectMatematik
dc.subjectMATEMATİK, UYGULAMALI
dc.subjectTemel Bilimler
dc.titleNew exponential stability results for delayed neural networks with time varying delays
dc.typeMakale
dc.relation.journalPHYSICA D-NONLINEAR PHENOMENA
dc.contributor.departmentİstanbul Üniversitesi , Mühendislik Fakültesi , Bilgisayar Mühendisliği
dc.identifier.volume191
dc.identifier.startpage314
dc.identifier.endpage322
dc.contributor.firstauthorID57544


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