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An analysis of global asymptotic stability of delayed cellular neural networks

dc.contributor.authorArik, Sabri
dc.date.accessioned2021-03-04T18:08:17Z
dc.date.available2021-03-04T18:08:17Z
dc.date.issued2002
dc.identifier.citationArik S., "An analysis of global asymptotic stability of delayed cellular neural networks", IEEE TRANSACTIONS ON NEURAL NETWORKS, cilt.13, ss.1239-1242, 2002
dc.identifier.issn1045-9227
dc.identifier.otherav_89176d65-d08e-4577-8d52-524384bd3e71
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/92992
dc.identifier.urihttps://doi.org/10.1109/tnn.2002.1031957
dc.description.abstractIn this paper, a new sufficient condition is given for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks (DCNNs). This condition imposes constraints on the feedback and delayed feedback matrices of a DCNN independently of the delay parameter. This result is also compared with the previous results derived in the literature.
dc.language.isoeng
dc.subjectSinyal İşleme
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.subjectBiyoenformatik
dc.subjectDonanım
dc.subjectMühendislik ve Teknoloji
dc.subjectMühendislik
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectBİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM
dc.subjectBİLGİSAYAR BİLİMİ, DONANIM VE MİMARLIK
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.titleAn analysis of global asymptotic stability of delayed cellular neural networks
dc.typeMakale
dc.relation.journalIEEE TRANSACTIONS ON NEURAL NETWORKS
dc.contributor.departmentİstanbul Üniversitesi , Mühendislik Fakültesi , Elektrik-Elektronik Mühendisliği
dc.identifier.volume13
dc.identifier.issue5
dc.identifier.startpage1239
dc.identifier.endpage1242
dc.contributor.firstauthorID57501


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