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

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

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalMathematics and Computers in Simulation
Volume218
DOIs
StatePublished - Apr 2024

Keywords

  • Denial-of-Service attack
  • Event-triggered controller
  • Polynomial fuzzy systems

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