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Apr.  2017
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Jing Liu, Pei-Yong Zhu. Global Exponential Stability of Almost Periodic Solution of Cellular Neural Networks with Time-Varying Delays[J]. Journal of Electronic Science and Technology, 2007, 5(3): 238-242.
Citation: Jing Liu, Pei-Yong Zhu. Global Exponential Stability of Almost Periodic Solution of Cellular Neural Networks with Time-Varying Delays[J]. Journal of Electronic Science and Technology, 2007, 5(3): 238-242.

Global Exponential Stability of Almost Periodic Solution of Cellular Neural Networks with Time-Varying Delays

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  • Author Bio:

    Jing Liu research interests include general periodic solution of neural networks, l.jing2005@163.com

  • Received Date: 2007-04-23
  • Rev Recd Date: 2007-06-15
  • Publish Date: 2007-09-25

通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Global Exponential Stability of Almost Periodic Solution of Cellular Neural Networks with Time-Varying Delays

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Abstract: In this paper, global exponential stability of almost periodic solution of cellular neural networks with time-varing delays (CNNVDs) is considered. By using the methods of the topological degree theory and generalized Halanay inequality, a few new applicable criteria are established for the existence and global exponential stability of almost periodic solution. Some previous results are improved and extended in this letter and one example is given to illustrate the effectiveness of the new r sults.

Jing Liu, Pei-Yong Zhu. Global Exponential Stability of Almost Periodic Solution of Cellular Neural Networks with Time-Varying Delays[J]. Journal of Electronic Science and Technology, 2007, 5(3): 238-242.
Citation: Jing Liu, Pei-Yong Zhu. Global Exponential Stability of Almost Periodic Solution of Cellular Neural Networks with Time-Varying Delays[J]. Journal of Electronic Science and Technology, 2007, 5(3): 238-242.

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