Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive Control

This paper investigates the quasi-synchronization of nonidentical fractional-order memristive neural networks (FMNNs) via impulsive control. Based on a newly provided fractional-order impulsive systems comparison lemma, the average impulsive interval definition, and the Laplace transform, some quasi-synchronization conditions are obtained with fractional order 0<1. In addition, the error convergence rates and error boundary are also obtained. Finally, one simulation example is presented to show the validity of our results.

Automated summary

This paper investigates the quasi-synchronization of nonidentical fractional-order memristive neural networks (FMNNs) via impulsive control. The study provides quasi-synchronization conditions, error convergence rates, and error boundaries for the networks, demonstrating their validity through a simulation example.