GLOBAL STABILITY ANALYSIS IN CELLULAR NEURAL NETWORKS WITH UNBOUNDED TIME DELAYS

被引：0
作者：
张继业
机构：
[1] P.R.China
[2] Southwest Jiaotong University
[3] Chengdu 610031
[4] National Traction Power Laboratory
来源：
Applied Mathematics and Mechanics(English Edition) | 2004年 / 06期
关键词：
neural network; time delay; cellular neural network; stability;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码：686 / 693
页数：8
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