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Mittag–Leffler Synchronization of Delayed Fractional Memristor Neural Networks via Adaptive Control.
- 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]
- Subjects :
- ADAPTIVE control systems
SYNCHRONIZATION
ARTIFICIAL neural networks
Subjects
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