Applied Mathematics and Mechanics (English Edition) ›› 2004, Vol. 25 ›› Issue (6): 686-693.

• 论文 • 上一篇    下一篇

GLOBAL STABILITY ANALYSIS IN CELLULAR NEURAL NETWORKS WITH UNBOUNDED TIME DELAYS

张继业   

  1. National Traction Power Laboratory, Southwest Jiaotong University, Chengdu 610031, P. R. China
  • 收稿日期:2002-02-28 修回日期:2003-12-05 出版日期:2004-06-18 发布日期:2004-06-18
  • 基金资助:

    the National Natural Science Foundation of China(10272091)

GLOBAL STABILITY ANALYSIS IN CELLULAR NEURAL NETWORKS WITH UNBOUNDED TIME DELAYS

ZHANG Ji-ye   

  1. National Traction Power Laboratory, Southwest Jiaotong University, Chengdu 610031, P. R. China
  • Received:2002-02-28 Revised:2003-12-05 Online:2004-06-18 Published:2004-06-18
  • Supported by:

    the National Natural Science Foundation of China(10272091)

摘要: Without assuming the boundedness and differentiability of the activation functions, the conditions ensuring existence, uniqueness, and global asymptotical stability of the equilibrium point of cellular neural networks with unbounded time delays and variable delays were studied. Using the idea of vector Liapunov method, the intero-differential inequalities with unbounded delay and variable delays were constructed. By the stability analysis of the intero-differential inequalities, the sufficient conditions for global asymptotic stability of cellular neural networks were obtained.

Abstract: Without assuming the boundedness and differentiability of the activation functions, the conditions ensuring existence, uniqueness, and global asymptotical stability of the equilibrium point of cellular neural networks with unbounded time delays and variable delays were studied. Using the idea of vector Liapunov method, the intero-differential inequalities with unbounded delay and variable delays were constructed. By the stability analysis of the intero-differential inequalities, the sufficient conditions for global asymptotic stability of cellular neural networks were obtained.

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