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

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  • Yimin Zhang
  • Yongkun Li
  • Kuohui Ye

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.

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Handle: RePEc:wly:jnlaaa:v:2009:y:2009:i:1:n:957475
DOI: 10.1155/2009/957475
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