Exponential synchronization of neural networks with time-varying delays

In this paper, we study the problem of exponential synchronization of a class of neural networks with time-varying delays. By utilizing the Lyapunov functional method and combining it with linear matrix inequality approach, we obtain the exponential synchronization of the derive-response structure of neural networks. Some sufficient conditions for the exponential synchronization of neural networks are given in terms of the feasible solution to the LMIs, which can be solved by various convex optimization algorithms. A numerical example is given to illustrate the proposed theory.