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Event-triggered control design with varying gains for polynomial fuzzy systems against DoS attacks

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  • Selvaraj, P.
  • Kwon, O.M.
  • Lee, S.H.
  • Sakthivel, R.
  • Lee, S.M.

Abstract

This paper presents an innovative event-triggered control scheme for addressing the stabilization problem of polynomial fuzzy systems under the influence of Denial-of-Service (DoS) attacks. The proposed controller utilizes a sampling-based event-triggered mechanism to reduce communication resources and avoid Zeno behavior. Furthermore, a novel polynomial fuzzy model-based control system is developed to investigate the impact of periodic DoS attacks and the addressed event-triggered mechanism on system stability. To improve system performance, control gains are updated at each triggering instant. The exponential stability criteria are formulated in the form of sum-of-square constraints, supported by a triggering instant dependent piecewise Lyapunov-Krasovskii functional and an online asynchronous premise reconstruction approach. Finally, the efficiency and usefulness of the theoretical findings are validated through simulation examples.

Suggested Citation

  • Selvaraj, P. & Kwon, O.M. & Lee, S.H. & Sakthivel, R. & Lee, S.M., 2024. "Event-triggered control design with varying gains for polynomial fuzzy systems against DoS attacks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 218(C), pages 1-14.
    • Handle: RePEc:eee:matcom:v:218:y:2024:i:c:p:1-14
    DOI: 10.1016/j.matcom.2023.11.022
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    References listed on IDEAS

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    1. Huo, Xin & Ma, Li & Zhao, Xudong & Zong, Guangdeng, 2020. "Event-triggered adaptive fuzzy output feedback control of MIMO switched nonlinear systems with average dwell time," Applied Mathematics and Computation, Elsevier, vol. 365(C).
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