Exponential stochastic synchronization of coupled neural networks with adaptive intermittent control

In this paper, the exponential stochastic synchronization of coupled neural networks via adaptive periodically intermittent control is further investigated. Based on the Lyapunov stability theory combined with the method of the adaptive control, periodically intermittent control and the properties of Weiner process, some simple criteria are derived for the exponential stochastic synchronization of the coupled neural networks with coupling delays under stochastic perturbations. The adaptive periodically intermittent control which we have obtained can cut down control cost. The sufficient conditions of this paper for network synchronization are less conservative and can be applied in a wider area. The numerical example of the stochastically coupled neural networks is given to demonstrate the effectiveness of the control strategies.