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dc.contributor.authorBirundha Devi, N.
dc.contributor.authorSakthivel, R.
dc.contributor.authorPriyanka, S.
dc.contributor.authorKwon, O. M.
dc.date.accessioned2024-12-24T18:48:21Z
dc.date.available2024-12-24T18:48:21Z
dc.date.copyright9/6/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.issn1555-1415
dc.identifier.othercnd_019_11_111004.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302776
dc.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.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleInput–Output Finite-Time Bipartite Synchronization for Multiweighted Complex Dynamical Networks Under Dynamic Hybrid Triggering Mechanism
dc.typeJournal Paper
dc.journal.volume19
dc.journal.issue11
dc.journal.titleJournal of Computational and Nonlinear Dynamics
dc.identifier.doi10.1115/1.4066121
dc.journal.fristpage111004-1
dc.journal.lastpage111004-11
dc.page11
dc.treeJournal of Computational and Nonlinear Dynamics:;2024:;volume( 019 ):;issue: 011
dc.contenttypeFulltext


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