New Approach to Quasi-Synchronization of Fractional-Order Delayed Neural Networks

This article investigates quasi-synchronization for a class of fractional-order delayed neural networks. By utilizing the properties of the Laplace transform, the Caputo derivative, and the Mittag-Leffler function, a new fractional-order differential inequality is introduced. Furthermore, an adaptive controller is designed, resulting in the derivation of an effective criterion to ensure the aforementioned synchronization. Finally, a numerical illustration is provided to demonstrate the validity of the presented theoretical findings.

Automated summary

This article investigates quasi-synchronization for a class of fractional-order delayed neural networks. By introducing a new fractional-order differential inequality and designing an adaptive controller, an effective criterion is proposed to ensure the quasi-synchronization.