Adaptive Sychronization between Two Different Chaotic Neural Networks with Mixed Time-varying Delays

In this paper, the problem on sychronization is investigated for two different Chaotic Neural Network with mixed time-varying Delays. The adaptive synchronization of two different chaotic neural networks with fully unknown parameters and mixed time-varying delays is investigated, and as a result, a well-designed method is given to ensure the synchronization of two chaotic neural networks which are of the different structure and fully unknown parameters. Under the action of the adaptive control law, the synchronization and parametric identification can be done simultaneously. The controller designed is simple and easy to implement. Strict theoretical proofs are given by using the method of Lyapunov function. Finally, numerical simulations show the effectiveness of the method.