Synchronization in Fractional-Order Complex-Valued Delayed Neural Networks

Synchronization in Fractional-Order Complex-Valued Delayed Neural Networks

This paper discusses the synchronization of fractional order complex valued neural networks (FOCVNN) at the presence of time delay. Synchronization criterions are achieved through the employment of a linear feedback control and comparison theorem of fractional order linear systems with delay. Feasib...

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Bibliographic Details
Main Authors: Weiwei Zhang, Jinde Cao, Dingyuan Chen, Fuad E. Alsaadi
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Entropy
Subjects:
synchronization
comparison theorem
time-delay
fractional order
complex valued neural networks
Online Access:http://www.mdpi.com/1099-4300/20/1/54

Internet

http://www.mdpi.com/1099-4300/20/1/54

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