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Synchronization of Timescale-Type Nonautonomous Neural Networks With Proportional Delays.
- 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]
- Subjects :
- SYNCHRONIZATION
STABILITY criterion
Subjects
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