Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/13163
Título: | Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delays |
Autor(es): | Oliveira, José J. |
Palavras-chave: | Cohen-Grossberg neural network Unbounded delay Time-varying delay Distributed delay Global asymptotic stability Global exponential stability |
Data: | Out-2011 |
Editora: | Elsevier |
Revista: | Nonlinear Analysis: Real World Applications |
Resumo(s): | 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/13163 |
DOI: | 10.1016/j.nonrwa.2011.04.012 |
ISSN: | 1468-1218 |
Versão da editora: | http://www.sciencedirect.com/ |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals DMA - Artigos (Papers) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
NA-jjoliveira-NN_infty2011-3.pdf | Documento integral | 282,79 kB | Adobe PDF | Ver/Abrir |