摘要
利用Lyapunov泛函方法和随机分析技巧,研究了S-分布时滞随机广义细胞神经网络的全局均方指数稳定性。给出了稳定性判据。仿真实验验证了结论的正确性。
Global exponential stability of generalized cellular neural networks with S-type distributed delays was dis- cussed by using Lyapunov functional method and stochastic analysis technique. A criterion for the stability in mean square was obtained. Simulation shows the validity of the conclusions.
出处
《山东大学学报(理学版)》
CAS
CSCD
北大核心
2014年第12期60-65,共6页
Journal of Shandong University(Natural Science)
基金
国家自然科学基金资助项目(11171374)
山东省自然科学基金重点资助项目(ZR2011AZ001)
关键词
广义细胞神经网络
S-分布时滞
随机分析
LYAPUNOV泛函
均方指数稳定
generalized cellular neural networks
S-type distributed delays
stochastic analysis
Lyapunov functional
exponential stability in mean square