Global Exponential Stability of A Class of Impulsive Cohen-Grossberg Neural Networks with Unbounded Delays

被引:0
|
作者
Xu, Xiaohui [1 ]
Zhang, Jiye [1 ]
Zhang, Keyue [1 ]
机构
[1] SW Jiaotong Univ, Natl Tract Power Lab, Chengdu 610031, Peoples R China
关键词
D O I
10.1109/ISKE.2008.4731048
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper studies the problems of global exponential stability for a class of impulsive Cohen-Grossberg neural networks, which contains both variable and unbounded delays. By constructing vector Lyapunov functions and nonlinear integro-differential inequalities, the sufficient conditions for global exponential stability are obtained. An example is given to demonstrate the effectiveness of the proposed conditions.
引用
收藏
页码:851 / 855
页数:5
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