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    Compound Synchronization Based on Memristive Cellular Neural Network of Chaos System

    Source: Journal of Computational and Nonlinear Dynamics:;2017:;volume( 012 ):;issue: 003::page 31002
    Author:
    Zhang, Xiaohong
    ,
    Liao, Linyu
    DOI: 10.1115/1.4034565
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As a especial type of synchronous method, compound synchronization is designed by multiple drive systems and response systems. In this paper, a new type of compound synchronization of three drive systems and two response systems is investigated. According to synchronous control of five memristive cellular neural networks (CNNs), the theoretical analysis and demonstration are given out by using Lyapunov stability theory. The corresponding numerical simulations and synchronous performance analysis are supplied to verify the feasibility and scalability of compound synchronization design.
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      Compound Synchronization Based on Memristive Cellular Neural Network of Chaos System

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4236378
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    contributor authorZhang, Xiaohong
    contributor authorLiao, Linyu
    date accessioned2017-11-25T07:20:20Z
    date available2017-11-25T07:20:20Z
    date copyright2016/5/12
    date issued2017
    identifier issn1555-1415
    identifier othercnd_012_03_031002.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236378
    description abstractAs a especial type of synchronous method, compound synchronization is designed by multiple drive systems and response systems. In this paper, a new type of compound synchronization of three drive systems and two response systems is investigated. According to synchronous control of five memristive cellular neural networks (CNNs), the theoretical analysis and demonstration are given out by using Lyapunov stability theory. The corresponding numerical simulations and synchronous performance analysis are supplied to verify the feasibility and scalability of compound synchronization design.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleCompound Synchronization Based on Memristive Cellular Neural Network of Chaos System
    typeJournal Paper
    journal volume12
    journal issue3
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4034565
    journal fristpage31002
    journal lastpage031002-9
    treeJournal of Computational and Nonlinear Dynamics:;2017:;volume( 012 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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