New Results on Synchronization of Fractional-Order Memristor‐Based Neural Networks via State Feedback Control

Xiaofan Li, Yuan Ge, Hongjian Liu, Huiyuan Li and Jian-an Fang

Complexity, 2020, vol. 2020, 1-11

Abstract:

This paper addresses the synchronization issue for the drive-response fractional-order memristor‐based neural networks (FOMNNs) via state feedback control. To achieve the synchronization for considered drive-response FOMNNs, two feedback controllers are introduced. Then, by adopting nonsmooth analysis, fractional Lyapunov’s direct method, Young inequality, and fractional-order differential inclusions, several algebraic sufficient criteria are obtained for guaranteeing the synchronization of the drive-response FOMNNs. Lastly, for illustrating the effectiveness of the obtained theoretical results, an example is given.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:2470972

DOI: 10.1155/2020/2470972

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