Synchronization of a class of fractional-order neural networks with multiple time delays by comparison principles
Articles
Weiwei Zhang
Anqing Normal University, China
Ranchao Wu
Anhui University, China
Jinde Cao
Southeast University, China
Ahmed Alsaedi
King Abdulaziz University, Saudi Arabia
Tasawar Hayat
King Abdulaziz University, Saudi Arabia; Quaid-I-Azam University, Pakistan
Published 2017-09-24
https://doi.org/10.15388/NA.2017.5.4
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Keywords

fractional-order neural networks
comparison principles
multiple time delays
synchronization

How to Cite

Zhang, W. (2017) “Synchronization of a class of fractional-order neural networks with multiple time delays by comparison principles”, Nonlinear Analysis: Modelling and Control, 22(5), pp. 636–645. doi:10.15388/NA.2017.5.4.

Abstract

This paper studies the synchronization of fractional-order neural networks with multiple time delays. Based on an inequality of fractional-order and comparison principles of linear fractional equation with multiple time delays, some sufficient conditions for synchronization of master-slave systems are obtained. Example and related simulations are given to demonstrate the feasibility of the theoretical results.

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