Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/13162
Título: | General criteria for asymptotic and exponential stabilities of neural network models with unbounded delays |
Autor(es): | Oliveira, José J. Faria, Teresa |
Palavras-chave: | Cohen-Grossberg neural network Infinite delay Distributed delay Global asymptotic stability Global exponential stability |
Data: | Ago-2011 |
Editora: | Elsevier |
Revista: | Applied Mathematics and Computation |
Resumo(s): | For a family of differential equations with infinite delay, we give sufficient conditions for the global asymptotic, and global exponential stability of an equilibrium point. This family includes most of the delayed models of neural networks of Cohen-Grossberg type, with both bounded and unbounded distributed delay, for which general asymptotic and exponential stability criteria are derived. As illustrations, the results are applied to several concrete models studied in the literature, and a comparison of results is given. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/13162 |
DOI: | 10.1016/j.amc.2011.04.049 |
ISSN: | 0096-3003 |
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 | |
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faria_oliveira_neural2010.pdf | Documento principal | 201,5 kB | Adobe PDF | Ver/Abrir |