Discrete-time neural sliding-mode pinning control for synchronization of complex networks

A discrete-time neural sliding-mode pinning controller for synchronization of uncertain complex networks with nonidentical nodes is proposed. To achieve synchronization, a neural control scheme constituted by a Recurrent High-Order Neural Network identifier trained with an extended Kalman algorithm, and a discrete-time sliding-mode controller is used in a small fraction of nodes. The applicability of the proposed scheme is illustrated via simulations, using a network constituted by 8-nodes with four different types of chaotic systems.