摘要
基于线性矩阵不等式、Lyapunov-Krasovskill泛函和随机分析方法,研究了一类具有随机变时滞模糊神经网络的均方渐近稳定性,得到了均方渐近稳定性的充分条件.用数值例子说明了结果的有效性.
A class of stochastic fuzzy cellular neural networks with time-varying delays is considered.Sufficient conditions for the mean square asymptotic stability are obtained by using LMI,Lyapunov-Krasovskill functional and stochastic analysis.An illustrative example is given to demonstrate the effectiveness of the obtained results.
出处
《河北师范大学学报（自然科学版）》
CAS
北大核心
2010年第4期389-393,共5页
Journal of Hebei Normal University：Natural Science
基金
安徽省自然科学基金(070416225)
安徽省高校省级自然科学基金(KJ2007A003)
关键词
均方渐近稳定
随机
变时滞
模糊细胞神经网络
mean square asymptotically stable
stochastic
time-varying delays
fuzzy cellular neural networks
