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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 -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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  • Yimin Zhang & Yongkun Li & Kuohui Ye, 2009. "Existence and Exponential Stability of Periodic Solution for a Class of Generalized Neural Networks with Arbitrary Delays," Abstract and Applied Analysis, Hindawi, vol. 2009, pages 1-15, January.
    • Handle: RePEc:hin:jnlaaa:957475
    DOI: 10.1155/2009/957475
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