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Dynamic event-triggered fuzzy tracking control for networked systems with cyberattacks

  • Zifang Qu
  • , Zhenbin Du
  • , Yonggui Kao
  • , Ju H. Park*
  • *Corresponding author for this work
  • Shandong Technology and Business University
  • Yantai University
  • Harbin Institute of Technology Weihai
  • Yeungnam University

Research output: Contribution to journalArticlepeer-review

Abstract

This manusript focuses on the issue of dynamic event-triggered fuzzy tracking control for networked systems in the presence of denial-of-service (DoS) attacks. By using a dynamic event-triggered mechanism, a fuzzy tracking controller is presented to defense DoS attacks and actuator fault. By integrating fuzzy systems, reference model and the event-triggered tracking controller, the closed-loop system is established. Unlike the existing studies regarding DoS attacks, more sampling information is fused in the constructed piecewise Lyapunov-Krasovskii functional (LKF), which can better reflect engineering scenes. By applying Lyapunov stability theory, the closed-looped systems with and without DoS attacks are analyzed, respectively. With the aid of the relationship of two piecewise LKF, the overall closed-loop systems attain exponential stability and tracking control performance. Finally, two examples display the proposed control design, which adapts to the requirements of tracking tasks.

Original languageEnglish
Article number110571
JournalCommunications in Nonlinear Science and Numerical Simulation
Volume163
DOIs
StatePublished - Nov 2026
Externally publishedYes

Keywords

  • Denial-of-service (DoS) attacks
  • Dynamic event-triggered (DET) mechanism
  • Fuzzy systems
  • Tracking control

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