具有不同时间尺度的分布时滞竞争神经网络概周期解的全局指数稳定性

Global exponential stability of an almost periodic solution for competitive neural networks with distributed delays and different time-scales

运用李亚普诺夫泛函结合微分不等式技巧研究了具有不同时间尺度的分布时滞竞争神经网络的概周期解,给出了其全局指数稳定性的一个充分条件。

The global exponential stability of almost periodic solutions for competitive neural networks with distributed delays and different time-scales is studied by using the fixed point theory,Lyapunov function and differential inequality technique.Sufficient conditions are established for the global exponential stability of it.