摘要
利用Halanay不等式、延拓定理、Cramer法则和一些分析技巧,获得了具分布时滞Cohen-Grossberg神经网络周期解的存在性、唯一性和全局指数稳定性的充分条件,改进和推广了已有文献的一些相关结论.
In this paper, we study Cohen-Grossberg neural networks with continuously distributed delays. Based on Halanay inequality, the continuation theorem of the coincidence degree theory, Cramer rule and analytical technique, we obtain some sufficient conditions ensuring the existence, uniqueness, and global exponential stability of periodic solution. We have renewed results and complement previously known results.
出处
《周口师范学院学报》
CAS
2009年第2期27-29,共3页
Journal of Zhoukou Normal University
关键词
神经网络
周期解
稳定性
时滞
neural network
periodic solution
stability
delay
