时滞依赖的脉冲时滞神经网络的稳定性

Delay-dependent stability of impulsive neural networks with time delays

基于Lyapunov泛函和不等式技巧,得到脉冲混合时滞神经网络全局指数稳定性的时滞依赖型判据,其中混合时滞包括离散时滞和分布时滞两种类型。该判据用线性矩阵不等式表示,并通过一个数值实例验证了判据的有效性。

This paper is concerned with the global exponential stability of impulsive neural networks with mixed time delays,which comprise discrete and distributed time delays.Based on the Lyapunov functional and inequality technique,delay-dependent stability criteria are obtained in terms of linear matrix inequalities.A numerical example is provided to illustrate the effectiveness of the results.