Time-Varying Heterogeneous Alternation Control for Synchronization of Delayed Neural Networks

This paper proposes a time-varying heterogeneous alternation controller for the synchronization of delayed neural networks (DNNs). Different from mixture traditional impulse and intermittent control, we consider which is more representative than periodic or aperiodic controllers. To make system under study applicable, impact delay. After doing theoretical analysis, sufficient condition DNNs obtained. Finally, two simulations are offered to verify validity our results.