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Exponential synchronization of time-varying delayed complex-valued neural networks under hybrid impulsive controllers

机译:混合脉冲控制器下时变延迟复合性神经网络的指数同步

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This paper focuses on exponential synchronization for master-slave time-varying delayed complex-valued neural networks (CVNNs) under hybrid impulsive controllers. Hybrid impulsive controllers is the extension of impulsive controllers, which can simultaneously permit synchronizing as well as desynchronizing impulses in one impulsive sequence, i.e., hybrid impulses. We separate CVNNs into their real and imaginary parts, which leads to two real-valued neural networks (RVNNs). Based on the concepts of average impulsive interval (AII) and average impulsive gain (AIG), we find that master-slave exponential synchronization for the real and imaginary parts of CVNNs can be realized via hybrid impulsive control under certain conditions. By employing the Lyapunov method, sufficient criteria are established to guarantee synchronization of the given master-slave CVNNs. Finally, the validity of the obtained results is demonstrated via a numerical example. (c) 2019 Elsevier Ltd. All rights reserved.
机译:本文侧重于混合脉冲控制器下的主从时变形延迟复合性神经网络(CVNNS)的指数同步。 混合脉冲控制器是脉冲控制器的延伸,其可以同时允许在一种冲动的序列中同步以及去同步脉冲,即杂化脉冲。 我们将CVNN分开到其真实和虚部的部分,这导致两个真实的神经网络(RVNNS)。 基于平均脉冲间隔(AII)和平均脉冲增益(AIG)的概念,我们发现CVNN的真实和虚部的主从指数同步可以通过在某些条件下通过混合脉冲控制来实现。 通过采用Lyapunov方法,建立了足够的标准,以保证给定的主从CVNN的同步。 最后,通过数值示例来证明所得结果的有效性。 (c)2019年elestvier有限公司保留所有权利。

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