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

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

Similar works

This paper was published in Nonlinear Analysis: Modelling and Control.

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