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Global Exponential Stability of a Unique Almost Periodic Solution for Neutral-Type Cohen-Grossberg Neural Networks with Time Delays

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  • Yongzhi Liao
  • Wenquan Wu
  • Tianwei Zhang

Abstract

This paper is concerned with the problem of the existence, uniqueness, and global exponential stability of almost periodic solution for neutral-type Cohen-Grossberg neural networks with time delays. Based on fixed point theory and Lyapunov functional, several sufficient conditions are established for the existence, uniqueness, and global exponential stability of almost periodic solution for the above system. Finally, an example and numerical simulations are given to illustrate the feasibility and effectiveness of our main results.

Suggested Citation

  • Yongzhi Liao & Wenquan Wu & Tianwei Zhang, 2013. "Global Exponential Stability of a Unique Almost Periodic Solution for Neutral-Type Cohen-Grossberg Neural Networks with Time Delays," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-10, October.
    • Handle: RePEc:hin:jnlmpe:574356
    DOI: 10.1155/2013/574356
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