Asymptotical synchronization of memristor-based neural networks with time-varying delays via adaptive control

This paper is focused on the asymptotical synchronization of memristor-based neural networks with time-varying delays via adaptive controllers. In existing investigations, most results about synchronization of MNNs can only be applied to some specific MNNs. Thus, we introduce a new simple adaptive controller to synchronize two MNNs with time-varying delays asymptotically. Furthermore, some new conditions for analysing the synchronization error system are also proposed. Finally, a numerical example is given to verify the effectiveness of the proposed adaptive controllers.