摘要
研究了一类具有多个时滞的随机神经网络的均方指数稳定性问题,应用Lyapunov-Krasovskii泛函稳定理论和线性矩阵不等式(LMI)方法,建立了该系统解的指数稳定判别准则,最后通过数值举例阐述了结果的有效性.
This paper studies mean square exponential stability for a class of stochastic neural networks with multiple constant or time-varying delays. Based on the Lyapunov-Krasovskii stability theory, new stability criterion is derived in terms of the linear matrix inequalities (LMIs) for these networks. Some examples are also presented as illustration.
出处
《数学物理学报(A辑)》
CSCD
北大核心
2010年第1期42-53,共12页
Acta Mathematica Scientia
基金
国家自然科学基金(10826095
10801056)资助