Improved synchronization criteria for fractional-order complex-valued neural networks via partial control

Improved synchronization criteria for fractional-order complex-valued neural networks via partial control

Abstract In this article, without dividing a complex-valued neural network into two real-valued subsystems, the global synchronization of fractional-order complex-valued neural networks (FOCVNNs) is investigated by the Lyapunov direct method rather than the real decomposition method. It is worth men...

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Bibliographic Details
Main Authors: Hong-Li Li, Ahmadjan Muhammadhaji, Long Zhang, Haijun Jiang, Zhidong Teng
Format: Article
Language:English
Published: SpringerOpen 2020-07-01
Series:Advances in Difference Equations
Subjects:
Synchronization
Fractional-order
Complex-valued neural networks
Partial adaptive control
Online Access:http://link.springer.com/article/10.1186/s13662-020-02810-x

Internet

http://link.springer.com/article/10.1186/s13662-020-02810-x

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