Existence and Exponential Stability of Periodic Solution for a Class of Generalized Neural Networks with Arbitrary Delays

Yimin Zhang, Yongkun Li and Kuohui Ye

Abstract and Applied Analysis, 2009, vol. 2009, issue 1

Abstract: By the continuation theorem of coincidence degree and M‐matrix theory, we obtain some sufficient conditions for the existence and exponential stability of periodic solutions for a class of generalized neural networks with arbitrary delays, which are milder and less restrictive than those of previous known criteria. Moreover our results generalize and improve many existing ones.

Date: 2009
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https://doi.org/10.1155/2009/957475

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Persistent link: https://EconPapers.repec.org/RePEc:wly:jnlaaa:v:2009:y:2009:i:1:n:957475

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