Adaptive synchronization of a class of chaotic time-delayed neural networks with uncertain parameters

In this letter, the problem of adaptive synchronization of a class of chaotic time-delayed neural networks with uncertain parameters is studied. Based on Lyapunov stability theory and the adaptive control theory, two different kinds of adaptive controllers are presented for different unknown parameters. Numerical simulations demonstrate the analytical results and show the efficiency of the both approaches.