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Mittag–Leffler Synchronization of Delayed Fractional Memristor Neural Networks via Adaptive Control

Authors :
Ju H. Park
Yonggui Kao
Xiangyong Chen
Ying Li
Source :
IEEE Transactions on Neural Networks and Learning Systems. 32:2279-2284
Publication Year :
2021
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2021.

Abstract

This brief is devoted to exploring the global Mittag-Leffler (ML) synchronization problem of fractional-order memristor neural networks (FOMNNs) with leakage delay via a hybrid adaptive controller. By applying Fillipov's theory and the Lyapunov functional method, the novel algebraic sufficient condition for the global ML synchronization of FOMNNs is derived. Finally, a simulation example is presented to show the practicability of our findings.

Details

ISSN :
21622388 and 2162237X
Volume :
32
Database :
OpenAIRE
Journal :
IEEE Transactions on Neural Networks and Learning Systems
Accession number :
edsair.doi.dedup.....f1294f4a321bc4c733ac0fdf3b120bd7