pth Moment exponential synchronization of impulsive fuzzy Cohen-Grossberg neural networks with variable coefficients and time-varying delays under noise perturbation

In this paper, we consider a class of impulsive fuzzy Cohen-Grossberg neural networks with variable coefficients and time-varying delays. By establishing an L-operator differential inequality and using stochastic analysis technique, we obtain some new sufficient conditions for the pth moment exponential synchronization of the fuzzy Cohen-Grossberg neural networks under noise perturbation. Moreover, the exponential synchronization convergence rate is s also obtained. The criteria extend and improve some earlier results.