Synchronization of Stochastic Fuzzy Cellular Neural Networks with Leakage Delay Based on Adaptive Control

This paper considers the synchronization problem of coupled chaotic fuzzy cellular neural networks with stochastic noise perturbation and time delay in the leakage term by using adaptive feedback control. Motivated by the achievements from both the stability of neural networks with time delay in the leakage term and the synchronization of coupled chaotic fuzzy cellular neural networks with stochastic perturbation, Lyapunov stability theory combining with stochastic analysis approaches are employed to derive sufficient criteria ensuring the coupled chaotic fuzzy cellular neural networks to be completely synchronous. This paper also presents an illustrative example and uses simulated results of this example to show the feasibility and effectiveness of the proposed scheme.