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Existence and Global Exponential Stability of Almost Periodic Solutions for SICNNs with Nonlinear Behaved Functions and Mixed Delays

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  • Xinsong Yang
  • Jinde Cao
  • Chuangxia Huang
  • Yao Long

Abstract

By using the Leray-Schauder fixed point theorem and differential inequality techniques, several new sufficient conditions are obtained for the existence and global exponential stability of almost periodic solutions for shunting inhibitory cellular neural networks with discrete and distributed delays. The model in this paper possesses two characters: nonlinear behaved functions and all coefficients are time varying. Hence, our model is general and applicable to many known models. Moreover, our main results are also general and can be easily deduced to many simple cases, including some existing results. An example and its simulation are employed to illustrate our feasible results.

Suggested Citation

  • Xinsong Yang & Jinde Cao & Chuangxia Huang & Yao Long, 2010. "Existence and Global Exponential Stability of Almost Periodic Solutions for SICNNs with Nonlinear Behaved Functions and Mixed Delays," Abstract and Applied Analysis, Hindawi, vol. 2010, pages 1-20, March.
    • Handle: RePEc:hin:jnlaaa:915451
    DOI: 10.1155/2010/915451
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