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Global Exponential Stability of Pseudo Almost Periodic Solutions for SICNNs with Time‐Varying Leakage Delays

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  • Wentao Wang
  • Bingwen Liu

Abstract

This paper is concerned with the shunting inhibitory cellular neural networks (SICNNs) with time‐varying delays in the leakage (or forgetting) terms. Under proper conditions, we employ a novel argument to establish a criterion on the global exponential stability of pseudo almost periodic solutions by using Lyapunov functional method and differential inequality techniques. We also provide numerical simulations to support the theoretical result.

Suggested Citation

  • Wentao Wang & Bingwen Liu, 2014. "Global Exponential Stability of Pseudo Almost Periodic Solutions for SICNNs with Time‐Varying Leakage Delays," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
  • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:967328
    DOI: 10.1155/2014/967328
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    References listed on IDEAS

    as
    1. Junxia Meng, 2013. "Global Exponential Stability of Positive Pseudo-Almost-Periodic Solutions for a Model of Hematopoiesis," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-7, November.
    2. Hong Zhang & Mingquan Yang, 2013. "Global Exponential Stability of Almost Periodic Solutions for SICNNs with Continuously Distributed Leakage Delays," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-14, March.
    3. Junxia Meng, 2013. "Global Exponential Stability of Positive Pseudo‐Almost‐Periodic Solutions for a Model of Hematopoiesis," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    4. Hong Zhang & Mingquan Yang, 2013. "Global Exponential Stability of Almost Periodic Solutions for SICNNs with Continuously Distributed Leakage Delays," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    Full references (including those not matched with items on IDEAS)

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