Prescribed performance synchronization of neural networks with impulsive effects

In this paper, the prescribed performance synchronization problem is addressed for a class of neural networks with impulsive effects. According to the prescribed performance control principle and the Lyapunov’s second stability theorem, a preset performance control protocol is designed. For neural networks with impulsive effects, the proposed control scheme can not only guarantee the steady-state performance of synchronization errors, but also ensure the transient performance of the synchronization process. This improves the performance of the neural networks effectively. Finally, a numerical simulation is given to illustrate the effectiveness and feasibility of the proposed control scheme.