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New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks

机译:一类分数阶时滞神经网络有限时间同步的新方法

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摘要

Finite-time synchronization for a class of fractional-order delayed neural networks with fractional order alpha, 0 < alpha <= 1/2 and 1/2 < alpha < 1, is investigated in this paper. Through the use of Holder inequality, generalized Bernoulli inequality, and inequality skills, two sufficient conditions are considered to ensure synchronization of fractional-order delayed neural networks in a finite-time interval. Numerical example is given to verify the feasibility of the theoretical results.
机译:本文研究了一类分数阶α,0

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第6期|1804383.1-1804383.9|共9页
  • 作者单位

    Anqing Normal Univ, Sch Math & Computat Sci, Anqing 246011, Peoples R China;

    Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China|Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China;

    King Abdulaziz Univ, Dept Math, Jeddah 21589, Saudi Arabia;

    King Abdulaziz Univ, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia;

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