Synchronization of Time-Varying Delayed Neural Networks by Fixed-Time Control

This paper discusses synchronization of time-varying delayed neural networks by fixed-time control. First, several new fixed-time stability theorems of the dynamic system are discussed, and the estimation of the convergence time is also gained. Compared with some existing results, the convergence time given in this paper can be less conservative and more accurate. Second, as one of the important applications of fixed-time stability, several novel sufficient criteria are derived such that the two time-varying neural networks can be synchronized within a fixed-time. Finally, the simulation result is presented to show the effectiveness of the theoretical result.