关于时滞神经网络的全局渐近稳定性

ON THE GLOBALLY ASYMPTOTIC STABILITY OF NEURAL NETWORKS WITH DELAYS

本文讨论了一类时滞神经网络中有关平衡点的全局渐近稳定性的问题.用比较原理和Lyapunov泛函方法,导出了该类神经网络全局渐近稳定性的充分条件.

In this paper, the globally asymptotic stability of equilibrium points for a class of neural networks with delays is discussed. Via the use of the comparsion principle and the Lyapunov functional method, some sufficient conditions are given for the globally stability of these neural networks, which greatly generalizes the related results in current literature.