Almost sure exponential stability of stochastic Cohen-Grossberg neural networks with Markovian jumping and impulses

By employing the Lyapunov function method and average impulsive interval approach, the almost sure exponential stability for stochastic Cohen-Grossberg neural networks with Markovian jumping and impulses are considered. A set of sufficient conditions of almost sure exponential stability are derived. An example is given to illustrate the effectiveness of the results obtained.