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

Authors :
Kao, Yonggui
Li, Ying
Park, Ju H.
Chen, Xiangyong
Source :
IEEE Transactions on Neural Networks & Learning Systems; May2021, Vol. 32 Issue 5, p2279-2284, 6p
Publication Year :
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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2162237X
Volume :
32
Issue :
5
Database :
Complementary Index
Journal :
IEEE Transactions on Neural Networks & Learning Systems
Publication Type :
Periodical
Accession number :
150189982
Full Text :
https://doi.org/10.1109/TNNLS.2020.2995718