Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delays

Detalhes bibliográficos
Autor(a) principal: Oliveira, José J.
Data de Publicação: 2011
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/13163
Resumo: In this paper, a generalized neural network of Cohen-Grossberg type with both discrete time-varying and distributed unbounded delays is considered. Based on M-matrix theory, sufficient conditions are established to ensure the existence and global attractivity of an equilibrium point. The global exponential stability of the equilibrium is also addressed, but for the model with bounded discrete time-varying delays. A comparison of results shows that these results generalize and improve some earlier publications.
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spelling Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delaysCohen-Grossberg neural networkUnbounded delayTime-varying delayDistributed delayGlobal asymptotic stabilityGlobal exponential stabilityScience & TechnologyIn this paper, a generalized neural network of Cohen-Grossberg type with both discrete time-varying and distributed unbounded delays is considered. Based on M-matrix theory, sufficient conditions are established to ensure the existence and global attractivity of an equilibrium point. The global exponential stability of the equilibrium is also addressed, but for the model with bounded discrete time-varying delays. A comparison of results shows that these results generalize and improve some earlier publications.Fundação para a Ciência e a Tecnologia (FCT)Universidade do Minho. Centro de Matemática (CMAT)ElsevierUniversidade do MinhoOliveira, José J.2011-102011-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/13163eng1468-121810.1016/j.nonrwa.2011.04.012http://www.sciencedirect.com/info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:29:13Zoai:repositorium.sdum.uminho.pt:1822/13163Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:24:11.794189Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delays
title Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delays
spellingShingle Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delays
Oliveira, José J.
Cohen-Grossberg neural network
Unbounded delay
Time-varying delay
Distributed delay
Global asymptotic stability
Global exponential stability
Science & Technology
title_short Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delays
title_full Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delays
title_fullStr Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delays
title_full_unstemmed Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delays
title_sort Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delays
author Oliveira, José J.
author_facet Oliveira, José J.
author_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Oliveira, José J.
dc.subject.por.fl_str_mv Cohen-Grossberg neural network
Unbounded delay
Time-varying delay
Distributed delay
Global asymptotic stability
Global exponential stability
Science & Technology
topic Cohen-Grossberg neural network
Unbounded delay
Time-varying delay
Distributed delay
Global asymptotic stability
Global exponential stability
Science & Technology
description In this paper, a generalized neural network of Cohen-Grossberg type with both discrete time-varying and distributed unbounded delays is considered. Based on M-matrix theory, sufficient conditions are established to ensure the existence and global attractivity of an equilibrium point. The global exponential stability of the equilibrium is also addressed, but for the model with bounded discrete time-varying delays. A comparison of results shows that these results generalize and improve some earlier publications.
publishDate 2011
dc.date.none.fl_str_mv 2011-10
2011-10-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/13163
url http://hdl.handle.net/1822/13163
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1468-1218
10.1016/j.nonrwa.2011.04.012
http://www.sciencedirect.com/
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eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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