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A novel condition for robust stability of delayed neural networks

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dc.contributor.authorYücel, Eylem
dc.contributor.authorArık, Sabri
dc.contributor.buuauthorÖzcan, Neyir
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentElektrik Elektronik Mühendisliği Bölümü
dc.contributor.scopusid7003726676
dc.date.accessioned2022-08-26T06:27:00Z
dc.date.available2022-08-26T06:27:00Z
dc.date.issued2015
dc.descriptionBu çalışma, 9-12 Kasım 2015 tarihleri arasında İstanbul[Türkiye]'da düzenlenen 22. International Conference on Neural Information Processing (ICONIP)'de bildiri olarak sunulmuştur.
dc.description.abstractThis paper presents a novel sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for the class of delayed neural networks by using the Homomorphic mapping and the Lyapunov stability theorems. An important feature of the obtained result is its low computational complexity as the reported result can be verified by checking some well-known properties of some certain classes of matrices, which simplify the verification of the derived result.
dc.identifier.citationNeyir, Ö. vd. (2015). "A novel condition for robust stability of delayed neural networks". Neural Information Processing, PT III, Lecture Notes in Computer Science, 273-280.
dc.identifier.endpage280
dc.identifier.isbn978-3-319-26555-1
dc.identifier.isbn978-3-319-26554-4
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-84958542309
dc.identifier.startpage273
dc.identifier.urihttps://doi.org/10.1007/978-3-319-26555-1_31
dc.identifier.urihttp://hdl.handle.net/11452/28381
dc.identifier.volume9491
dc.identifier.wos000371579800031
dc.indexed.wosCPCIS
dc.language.isoen
dc.publisherSpringer
dc.relation.collaborationYurt içi
dc.relation.journalNeural Information Processing, PT III
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectComputer science
dc.subjectLyapunov functional
dc.subjectNeural networks
dc.subjectStability analysis
dc.subjectAsymptotic stability
dc.subjectInformation science
dc.subjectLyapunov functions
dc.subjectRobustness (control systems)
dc.subjectStability
dc.subjectDelayed neural networks
dc.subjectEquilibrium point
dc.subjectGlobal robust asymptotic stabilities
dc.subjectImportant features
dc.subjectLow computational complexity
dc.subjectLyapunov functionals
dc.subjectLyapunov stability theorem
dc.subjectComplex networks
dc.subject.scopusBAM Neural Network; Time Lag; Bidirectional Associative Memory
dc.subject.wosComputer science, artificial intelligence
dc.subject.wosComputer science, theory & methods
dc.titleA novel condition for robust stability of delayed neural networks
dc.typeProceedings Paper
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Elektrik Elektronik Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

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