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    Synchronization for Incommensurate Riemann–Liouville Fractional-Order Time-Delayed Competitive Neural Networks With Different Time Scales and Known or Unknown Parameters1

    Source: Journal of Computational and Nonlinear Dynamics:;2019:;volume( 014 ):;issue: 005::page 51002
    Author:
    Gu, Yajuan
    ,
    Wang, Hu
    ,
    Yu, Yongguang
    DOI: 10.1115/1.4042494
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Synchronization for incommensurate Riemann–Liouville fractional competitive neural networks (CNN) with different time scales is investigated in this paper. Time delays and unknown parameters are concerned in the model, which is more practical. Two simple and effective controllers are proposed, respectively, such that synchronization between the salve system and the master system with known or unknown parameters can be achieved. The methods are more general and less conservative which can also be applied to commensurate integer-order systems and commensurate fractional systems. Furthermore, two numerical ensamples are provided to show the feasibility of the approach. Based on the chaotic masking method, the example of chaos synchronization application for secure communication is provided.
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      Synchronization for Incommensurate Riemann–Liouville Fractional-Order Time-Delayed Competitive Neural Networks With Different Time Scales and Known or Unknown Parameters1

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4255852
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    contributor authorGu, Yajuan
    contributor authorWang, Hu
    contributor authorYu, Yongguang
    date accessioned2019-03-17T10:00:20Z
    date available2019-03-17T10:00:20Z
    date copyright2/15/2019 12:00:00 AM
    date issued2019
    identifier issn1555-1415
    identifier othercnd_014_05_051002.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4255852
    description abstractSynchronization for incommensurate Riemann–Liouville fractional competitive neural networks (CNN) with different time scales is investigated in this paper. Time delays and unknown parameters are concerned in the model, which is more practical. Two simple and effective controllers are proposed, respectively, such that synchronization between the salve system and the master system with known or unknown parameters can be achieved. The methods are more general and less conservative which can also be applied to commensurate integer-order systems and commensurate fractional systems. Furthermore, two numerical ensamples are provided to show the feasibility of the approach. Based on the chaotic masking method, the example of chaos synchronization application for secure communication is provided.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSynchronization for Incommensurate Riemann–Liouville Fractional-Order Time-Delayed Competitive Neural Networks With Different Time Scales and Known or Unknown Parameters1
    typeJournal Paper
    journal volume14
    journal issue5
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4042494
    journal fristpage51002
    journal lastpage051002-9
    treeJournal of Computational and Nonlinear Dynamics:;2019:;volume( 014 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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