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An analysis of exponential stability of delayed neural networks with time varying delays

dc.contributor.authorArik, Sabri
dc.date.accessioned2021-03-05T19:24:25Z
dc.date.available2021-03-05T19:24:25Z
dc.date.issued2004
dc.identifier.citationArik S., "An analysis of exponential stability of delayed neural networks with time varying delays", NEURAL NETWORKS, cilt.17, ss.1027-1031, 2004
dc.identifier.issn0893-6080
dc.identifier.otherav_cf222be5-e32a-44aa-9efa-8086a21aa5db
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/136982
dc.identifier.urihttps://doi.org/10.1016/j.neunet.2004.02.001
dc.description.abstractThis paper derives a new sufficient condition for the exponential stability of the equilibrium point for delayed neural networks with time varying delays by employing a Lyapunov-Krasovskii functional and using Linear Matrix Inequality (LMI) approach. This result establishes a relation between the delay time and the parameters of the network. The result is also compared with the most recent result derived in the literature. (C) 2004 Elsevier Ltd. All rights reserved.
dc.language.isoeng
dc.subjectYaşam Bilimleri
dc.subjectTemel Bilimler
dc.subjectMühendislik ve Teknoloji
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectAlgoritmalar
dc.subjectBilgisayar Bilimleri
dc.subjectSinirbilim ve Davranış
dc.subjectNEUROSCIENCES
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.titleAn analysis of exponential stability of delayed neural networks with time varying delays
dc.typeMakale
dc.relation.journalNEURAL NETWORKS
dc.contributor.departmentİstanbul Üniversitesi , Mühendislik Fakültesi , Bilgisayar Mühendisliği
dc.identifier.volume17
dc.identifier.issue7
dc.identifier.startpage1027
dc.identifier.endpage1031
dc.contributor.firstauthorID57506


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