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    Hybrid-Triggered Fault-Tolerant Control Design for Networked Active Quarter-Vehicle Suspension System Against Hybrid Attacks

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    Date
    2026
    Author
    Keerthana, N.
    Aravinth, N.
    Sakthivel, R.
    Kwon, O. M.
    Marshal Anthoni, S.
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    Abstract
    Abstract. This study addresses the hybrid-triggered fault-tolerant control design for the networked active quarter-vehicle suspension systems prone to actuator faults, hybrid attacks, and disturbances via a refined looped Lyapunov functional. To begin with, a more pervasive hybrid-triggered technique is put forward to reduce superfluous communication transmissions in the network by combining an event and time-triggered mechanism. Furthermore, the presented framework is susceptible to hybrid attacks, which include deception attacks and denial-of-service attacks that can jeopardize the network's security in general. Moreover, stochastic variables that adhere to the Bernoulli distribution are offered in order to characterize the hybrid-triggered mechanism and the attacks. Next, appropriate criteria are obtained within the framework of linear matrix inequalities by designing a refined looped Lyapunov functional along with an integral inequality, which ensures that the closed-loop system attains stability. Precisely, a fractional variable is fed within the refined looped function that holds information about the sampling period and affords additional details regarding the split sampling intervals. After that, making use of the postulated suitable criteria, a precise layout for the anticipated controller gain matrices is then constructed. Moreover, {ζ1,ζ2,ζ3}−η dissipative performance is deployed to attenuate the effects of the external disturbances. Ultimately, to illustrate the efficacy of the presented approach and to ensure driving comfort and security, simulation results for networked active quarter-vehicle suspension systems are supplied.
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4316523
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    • Journal of Dynamic Systems, Measurement, and Control

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