具有反应扩散与变时滞的随机连续Cohen-Grossberg神经网络的p阶矩指数稳定性

Exponential p-Stability of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Time-Varying Delays

讨论了一类具有变时滞反应扩散随机Cohen-Grossberg神经网络模型,利用Lyapunov函数与微分不等式,得到了该模型平衡解的存在唯一性与p阶矩指数稳定性的充分条件,推广了前人发表的相关结果.

A class of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays are investigated in this paper.Sufficient conditions to guarantee the uniqueness and global exponential p-stability of equilibrium solutions of such networks are established by using suitable Lyapunov function and differential inequality.The results of the study improve earlier publications.