Intermittent quasi-synchronization criteria of chaotic delayed neural networks with parameter mismatches and stochastic perturbation mismatches via Razumikhin-type approach

Abstract

This paper concerns the quasi-synchronization problem of chaotic delayed neural networks with parameter mismatches and stochastic perturbation mismatches via intermittent control. First, a novel switching time dependent Lyapunov function with Razumikhin technique is introduced to establish the new quasi-synchronization criteria. The new results remove the limit of control width versus time delay, which greatly improves the results that have been achieved so far. Then, based on the quasi-synchronization criteria, the sufficient conditions on the existence of periodically and aperiodically intermittent controllers are presented. Finally, two numerical examples are used to demonstrate the effectiveness and feasibility of the proposed results.