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Synchronization of a class of fractional-order neural networks with multiple time delays by comparison principles
Journal article   Open access  Peer reviewed

Synchronization of a class of fractional-order neural networks with multiple time delays by comparison principles

Weiwei Zhang, Ranchao Wu, Jinde Cao, Ahmed Alsaedi, Tasawar Hayat and School of Mathematics, Southeast University
Nonlinear analysis (Vilnius, Lithuania), Vol.22(5), pp.636-645
01/09/2017
DOI: https://doi.org/10.15388/NA.2017.5.4

Abstract

Mathematics Mathematics, Applied Mathematics, Interdisciplinary Applications Mechanics Physical Sciences Science & Technology Technology
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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https://doi.org/10.15388/NA.2017.5.4View
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