Synchronization in Fractional-Order Complex-Valued Delayed Neural Networks

分数阶复值时滞神经网络中的同步

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Abstract

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. Feasibility and effectiveness of the proposed system are validated through numerical simulations.

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