Dynamic Event-Triggering Security Control of T-S Fuzzy Model-Based Unmanned Marine Vehicles

Shanling Dong, Zhiyi Lai, Bo Wang*, Zheng-Guang Wu, Meiqin Liu, Guanrong Chen

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This letter investigates the event-triggering security control problem of unmanned marine vehicles (UMVs) in the presence of actuator failures, cyber attacks and wave-included disturbances. The Takagi-Sugeno fuzzy model is employed to represent the nonlinear UMV system through the utilization of IF-THEN rules and membership functions. The dynamic event-triggering control law is devised due to the limited resources in the networked control environment, while avoiding the Zeno phenomenon. A sufficient condition is proposed to ensure the system stability and the solution to the controller gain is given as well. After theoretical analysis, simulation experiments are conducted to validate the efficacy of the proposed method. © 2025 IEEE.
Original languageEnglish
Pages (from-to)62-67
JournalIEEE Control Systems Letters
Volume9
Online published26 Mar 2025
DOIs
Publication statusPublished - 2025

Research Keywords

  • actuator failure
  • cyber attack
  • Dynamic event-triggering control
  • T-S fuzzy model

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