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Synchronization of Timescale-Type Nonautonomous Neural Networks With Proportional Delays.

Authors :
Xiao, Qiang
Huang, Tingwen
Zeng, Zhigang
Source :
IEEE Transactions on Systems, Man & Cybernetics. Systems; Apr2022, Vol. 52 Issue 4, p2167-2173, 7p
Publication Year :
2022

Abstract

Synchronization of a class of drive-response timescale-type nonautonomous proportional-delayed neural networks (TNPNNs) is addressed in this article. The key technique to cope with the proportional term is using comparison principle. By timescale theory, inequality technique, and comparison principle, criteria of synchronization are obtained. The method used in this article is effective to cope with TNPNNs and it is a direct approach as well by eliminating the conventional exponential transformation. The obtained results are verified with three examples. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21682216
Volume :
52
Issue :
4
Database :
Complementary Index
Journal :
IEEE Transactions on Systems, Man & Cybernetics. Systems
Publication Type :
Academic Journal
Accession number :
155866452
Full Text :
https://doi.org/10.1109/TSMC.2021.3049363