Event-triggered control design with varying gains for polynomial fuzzy systems against DoS attacks
P. Selvaraj,
O.M. Kwon,
S.H. Lee,
R. Sakthivel and
S.M. Lee
Mathematics and Computers in Simulation (MATCOM), 2024, vol. 218, issue C, 1-14
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.
Keywords: Polynomial fuzzy systems; Event-triggered controller; Denial-of-Service attack (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:218:y:2024:i:c:p:1-14
DOI: 10.1016/j.matcom.2023.11.022
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