Stochastic Exponential Stability of Cohen-Grossberg Neural Networks with Markovian Jumping Parameters and Mixed Delays

摘要

In this paper by applying vector Lyapunov function method and M matrix theory which are different from all the existing study methods (LMI technique), some sufficient conditions ensuring stochastic exponential stability of the equilibrium point of a class of Cohen-Grossberg neural networks with Markovian jumping parameters and mixed delays are derived.