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Finite-time synchronization of coupled Cohen-Grossberg neural networks with and without coupling delays

机译:具有耦合延迟和不具有耦合延迟的耦合Cohen-Grossberg神经网络的有限时间同步

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摘要

This paper analyzes synchronization in finite time for two types of coupled delayed Cohen-Grossberg neural networks (CDCGNNs). In the first type, linearly coupled Cohen-Grossberg neural networks with and without coupling delays are considered, respectively. In the second type, nonlinearly coupled Cohen- Grossberg neural networks both with and without coupling delays are discussed. By designing suitable controllers and using some inequality techniques, several criteria ensuring finite-time synchronization of the CDCGNNs with linear coupling and nonlinear coupling are derived, respectively. Moreover, the settling times of synchronization in finite time for the considered networks are also predicted. In the end, the availability for the acquired finite-time synchronization conditions is confirmed by two selected numerical examples. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文分析了两种类型的耦合延迟Cohen-Grossberg神经网络(CDCGNNs)在有限时间内的同步。在第一类中,分别考虑具有和不具有耦合延迟的线性耦合的Cohen-Grossberg神经网络。在第二种类型中,讨论了具有和不具有耦合延迟的非线性耦合Cohen- Grossberg神经网络。通过设计合适的控制器并使用一些不等式技术,分别得出了确保CDCGNN具有线性耦合和非线性耦合的有限时间同步的几个准则。此外,还可以为所考虑的网络预测有限时间内同步的建立时间。最后,通过两个选定的数值示​​例确认了所获取的有限时间同步条件的可用性。 (C)2018富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2018年第10期|4379-4403|共25页
  • 作者单位

    Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin 300387, Peoples R China;

    Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin Key Lab Optoelect Detect Technol & Syst, Tianjin 300387, Peoples R China;

    Tianjin Polytech Univ, Sch Mech Engn, Tianjin 300387, Peoples R China;

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