一类脉冲Cohen-Grossberg神经网络p阶矩指数稳定

pth Moment Exponential Stability for Impulsive Cohen-Grossberg Neural Networks

考虑一类时滞脉冲随机Cohen-Grossberg神经网络p阶矩指数稳定。通过构造适当的Lyapunov泛函,利用Halanay和Hardy不等式,建立了一类时滞脉冲随机Cohen-Grossberg神经网络p阶矩指数稳定的判据。该判据改进和推广了先前文献的一些结果。

In this paper, pth moment exponential stability is considered for a class of impulsive stochastic Cohen-Grossberg neural networks with mixed time delays. By employing suitable Lyapunov functionals, applying well-known Halanay and Hardy inequalities, sufficient conditions ofpth moment exponential stability have been established for Cohen-Grossberg neural networks with mixed time de- lays. The derived criteria extend and improve previous results in the literature.