Global exponential stability of nonautonomous neural network models with continuous distributed delays
Autor(a) principal: | |
---|---|
Data de Publicação: | 2013 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10198/8460 |
Resumo: | For a family of non-autonomous differential equations with distributed delays, we give sufficient conditions for the global exponential stability of an equilibrium point. This family includes most of the delayed models of neural networks of Hopfield type, with time-varying coefficients and distributed delays. For these models, we establish sufficient conditions for their global exponential stability. The existence and global exponential stability of a periodic solution is also addressed. A comparison of results shows that these results are general, news, and add something new to some earlier publication |
id |
RCAP_68601030642efea5769dcafdc4ed518f |
---|---|
oai_identifier_str |
oai:bibliotecadigital.ipb.pt:10198/8460 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Global exponential stability of nonautonomous neural network models with continuous distributed delaysHopfield neural networkBAM neural networkTime-varying coefficientDistributed time delayPeriodic solutionGlobal exponential stabilityFor a family of non-autonomous differential equations with distributed delays, we give sufficient conditions for the global exponential stability of an equilibrium point. This family includes most of the delayed models of neural networks of Hopfield type, with time-varying coefficients and distributed delays. For these models, we establish sufficient conditions for their global exponential stability. The existence and global exponential stability of a periodic solution is also addressed. A comparison of results shows that these results are general, news, and add something new to some earlier publicationElsevierBiblioteca Digital do IPBEsteves, SaleteGokmen, ElçinOliveira, José J.2013-06-13T09:03:58Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10198/8460engEsteves, Salete; Gokmen, Elçin; Oliveira, José J. (2013)- Global exponential stability of nonautonomous neural network models with continuous distributed delays. Applied Mathematics and Computation. ISSN 0096-3003. 219:17, p. 9296–93070096-3003info: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:RCAAP2023-11-21T10:20:47Zoai:bibliotecadigital.ipb.pt:10198/8460Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:59:57.011644Repositório 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 exponential stability of nonautonomous neural network models with continuous distributed delays |
title |
Global exponential stability of nonautonomous neural network models with continuous distributed delays |
spellingShingle |
Global exponential stability of nonautonomous neural network models with continuous distributed delays Esteves, Salete Hopfield neural network BAM neural network Time-varying coefficient Distributed time delay Periodic solution Global exponential stability |
title_short |
Global exponential stability of nonautonomous neural network models with continuous distributed delays |
title_full |
Global exponential stability of nonautonomous neural network models with continuous distributed delays |
title_fullStr |
Global exponential stability of nonautonomous neural network models with continuous distributed delays |
title_full_unstemmed |
Global exponential stability of nonautonomous neural network models with continuous distributed delays |
title_sort |
Global exponential stability of nonautonomous neural network models with continuous distributed delays |
author |
Esteves, Salete |
author_facet |
Esteves, Salete Gokmen, Elçin Oliveira, José J. |
author_role |
author |
author2 |
Gokmen, Elçin Oliveira, José J. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Esteves, Salete Gokmen, Elçin Oliveira, José J. |
dc.subject.por.fl_str_mv |
Hopfield neural network BAM neural network Time-varying coefficient Distributed time delay Periodic solution Global exponential stability |
topic |
Hopfield neural network BAM neural network Time-varying coefficient Distributed time delay Periodic solution Global exponential stability |
description |
For a family of non-autonomous differential equations with distributed delays, we give sufficient conditions for the global exponential stability of an equilibrium point. This family includes most of the delayed models of neural networks of Hopfield type, with time-varying coefficients and distributed delays. For these models, we establish sufficient conditions for their global exponential stability. The existence and global exponential stability of a periodic solution is also addressed. A comparison of results shows that these results are general, news, and add something new to some earlier publication |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-06-13T09:03:58Z 2013 2013-01-01T00:00:00Z |
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/10198/8460 |
url |
http://hdl.handle.net/10198/8460 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Esteves, Salete; Gokmen, Elçin; Oliveira, José J. (2013)- Global exponential stability of nonautonomous neural network models with continuous distributed delays. Applied Mathematics and Computation. ISSN 0096-3003. 219:17, p. 9296–9307 0096-3003 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799135225352028160 |