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    Input–Output Finite-Time Bipartite Synchronization for Multiweighted Complex Dynamical Networks Under Dynamic Hybrid Triggering Mechanism

    Source: Journal of Computational and Nonlinear Dynamics:;2024:;volume( 019 ):;issue: 011::page 111004-1
    Author:
    Birundha Devi, N.
    ,
    Sakthivel, R.
    ,
    Priyanka, S.
    ,
    Kwon, O. M.
    DOI: 10.1115/1.4066121
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The problem of input–output finite-time (IO-FT) bipartite synchronization for a class of nonlinear multiweighted complex dynamical networks (CDNs) in the presence of multiple coupling delays, external disturbances, and deception attacks is explored in this study. To be precise, the limited communication resources have been mitigated with the aid of undertaken hybrid triggered strategy, which reduces the unwanted network transmission and simultaneously improves the system's performance. Specifically, in the hybrid-trigger scheme, a Bernoulli distributed random variable has been employed to switch between the two communication channels. Moreover, the event-triggered scheme involving the dynamic trigger conditions is incorporated in the sensor-to-controller, which reduces the number of triggers compared to static event-triggered strategy. Further, the adequate conditions are derived in terms of linear matrix inequalities by constructing a Lyapunov–Krasovskii functional candidate. In light of this, the required parameters involved in triggering and the gain matrix are acquired by solving the developed linear matrix inequalities. Eventually, the reliability of the developed approach is verified via the illustration of two numerical examples, including the Chua's circuit with simulation verifications.
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      Input–Output Finite-Time Bipartite Synchronization for Multiweighted Complex Dynamical Networks Under Dynamic Hybrid Triggering Mechanism

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    contributor authorBirundha Devi, N.
    contributor authorSakthivel, R.
    contributor authorPriyanka, S.
    contributor authorKwon, O. M.
    date accessioned2024-12-24T18:48:21Z
    date available2024-12-24T18:48:21Z
    date copyright9/6/2024 12:00:00 AM
    date issued2024
    identifier issn1555-1415
    identifier othercnd_019_11_111004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302776
    description abstractThe problem of input–output finite-time (IO-FT) bipartite synchronization for a class of nonlinear multiweighted complex dynamical networks (CDNs) in the presence of multiple coupling delays, external disturbances, and deception attacks is explored in this study. To be precise, the limited communication resources have been mitigated with the aid of undertaken hybrid triggered strategy, which reduces the unwanted network transmission and simultaneously improves the system's performance. Specifically, in the hybrid-trigger scheme, a Bernoulli distributed random variable has been employed to switch between the two communication channels. Moreover, the event-triggered scheme involving the dynamic trigger conditions is incorporated in the sensor-to-controller, which reduces the number of triggers compared to static event-triggered strategy. Further, the adequate conditions are derived in terms of linear matrix inequalities by constructing a Lyapunov–Krasovskii functional candidate. In light of this, the required parameters involved in triggering and the gain matrix are acquired by solving the developed linear matrix inequalities. Eventually, the reliability of the developed approach is verified via the illustration of two numerical examples, including the Chua's circuit with simulation verifications.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleInput–Output Finite-Time Bipartite Synchronization for Multiweighted Complex Dynamical Networks Under Dynamic Hybrid Triggering Mechanism
    typeJournal Paper
    journal volume19
    journal issue11
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4066121
    journal fristpage111004-1
    journal lastpage111004-11
    page11
    treeJournal of Computational and Nonlinear Dynamics:;2024:;volume( 019 ):;issue: 011
    contenttypeFulltext
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