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    Synchronization of Quadratic Chaotic Systems Based on Simultaneous Estimation of Nonlinear Dynamics

    Source: Journal of Computational and Nonlinear Dynamics:;2018:;volume( 013 ):;issue: 008::page 81001
    Author:
    Zarei, Amin
    ,
    Tavakoli, Saeed
    DOI: 10.1115/1.4040459
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: To synchronize quadratic chaotic systems, a synchronization scheme based on simultaneous estimation of nonlinear dynamics (SEND) is presented in this paper. To estimate quadratic terms, a compensator including Jacobian matrices in the proposed master–slave schematic is considered. According to the proposed control law and Lyapunov theorem, the asymptotic convergence of synchronization error to zero is proved. To identify unknown parameters, an adaptive mechanism is also used. Finally, a number of numerical simulations are provided for the Lorenz system and a memristor-based chaotic system to verify the proposed method.
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      Synchronization of Quadratic Chaotic Systems Based on Simultaneous Estimation of Nonlinear Dynamics

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    contributor authorZarei, Amin
    contributor authorTavakoli, Saeed
    date accessioned2019-02-28T11:12:14Z
    date available2019-02-28T11:12:14Z
    date copyright6/18/2018 12:00:00 AM
    date issued2018
    identifier issn1555-1415
    identifier othercnd_013_08_081001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4253787
    description abstractTo synchronize quadratic chaotic systems, a synchronization scheme based on simultaneous estimation of nonlinear dynamics (SEND) is presented in this paper. To estimate quadratic terms, a compensator including Jacobian matrices in the proposed master–slave schematic is considered. According to the proposed control law and Lyapunov theorem, the asymptotic convergence of synchronization error to zero is proved. To identify unknown parameters, an adaptive mechanism is also used. Finally, a number of numerical simulations are provided for the Lorenz system and a memristor-based chaotic system to verify the proposed method.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSynchronization of Quadratic Chaotic Systems Based on Simultaneous Estimation of Nonlinear Dynamics
    typeJournal Paper
    journal volume13
    journal issue8
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4040459
    journal fristpage81001
    journal lastpage081001-7
    treeJournal of Computational and Nonlinear Dynamics:;2018:;volume( 013 ):;issue: 008
    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
    yabeshDSpacePersian