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Exponential input-to-state stability of recurrent neural networks with multiple time-varying delays
In this paper, input-to-state stability problems for a class of recurrent neural networks model with multiple time-varying delays are concerned with. By utilizing the Lyapunov–Krasovskii functional method and linear matrix inequalities techniques, some sufficient conditions ensuring the exponential...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Netherlands
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3890088/ https://ncbi.nlm.nih.gov/pubmed/24465285 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-013-9258-9 |
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