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    Chaos Detection in Generalized ψ-Fractional Differential Systems

    Source: Journal of Computational and Nonlinear Dynamics:;2025:;volume( 020 ):;issue: 003::page 31002-1
    Author:
    N'Gbo, N'Gbo
    ,
    Li, Changpin
    ,
    Cai, Min
    DOI: 10.1115/1.4067471
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This article focuses on investigating fractional Lyapunov exponents for generalized ψ-fractional differential systems. By employing a new and more suitable definition, we derive an expression for the fractional Lyapunov exponents using the inverse of the Mittag-Leffler function, which depends on the kernel, weight, and order of the considered fractional derivative. We also provide an upper bound for the obtained fractional Lyapunov exponents that is tighter than the one available in existing literature. Finally, experiments conducted on a hyperchaotic 5D system and the well-known Lorenz system serve to illustrate and verify our main results.
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      Chaos Detection in Generalized ψ-Fractional Differential Systems

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4305179
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    contributor authorN'Gbo, N'Gbo
    contributor authorLi, Changpin
    contributor authorCai, Min
    date accessioned2025-04-21T09:57:04Z
    date available2025-04-21T09:57:04Z
    date copyright1/3/2025 12:00:00 AM
    date issued2025
    identifier issn1555-1415
    identifier othercnd_020_03_031002.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305179
    description abstractThis article focuses on investigating fractional Lyapunov exponents for generalized ψ-fractional differential systems. By employing a new and more suitable definition, we derive an expression for the fractional Lyapunov exponents using the inverse of the Mittag-Leffler function, which depends on the kernel, weight, and order of the considered fractional derivative. We also provide an upper bound for the obtained fractional Lyapunov exponents that is tighter than the one available in existing literature. Finally, experiments conducted on a hyperchaotic 5D system and the well-known Lorenz system serve to illustrate and verify our main results.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleChaos Detection in Generalized ψ-Fractional Differential Systems
    typeJournal Paper
    journal volume20
    journal issue3
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4067471
    journal fristpage31002-1
    journal lastpage31002-13
    page13
    treeJournal of Computational and Nonlinear Dynamics:;2025:;volume( 020 ):;issue: 003
    contenttypeFulltext
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