Stability analysis for stochastic Cohen-Grossberg neural network with distributed delays and reaction diffusion terms

This paper mainly deals with the almost surely exponential stability and exponential p-th moment stability for a class of stochastic Cohen–Grossberg neural networks with distributed delays and reaction–diffusion term. By constructing suitable Lyapunov functional, employing the nonnegative semi-martingale convergence theorem and applying matrix theory and stochastic analysis technique, two delay-independent and easily verifiable sufficient conditions are obtained to ensure the existence, uniqueness, almost surely exponential stability and exponential p-th moment stability of the equilibrium point for the addressed stochastic Cohen-Grossberg neural network with distributed delays and reaction-diffusion terms.