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

doi:10.1109/LCSYS.2025.3554846

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

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English
Pages (from-to)	62-67
Number of pages	6
Journal	IEEE Control Systems Letters
Volume	9
DOIs	https://doi.org/10.1109/LCSYS.2025.3554846
State	Published - 2025
Externally published	Yes

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/LCSYS.2025.3554846

Cite this

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title = "Dynamic Event-Triggering Security Control of T-S Fuzzy Model-Based Unmanned Marine Vehicles",

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.",

keywords = "Dynamic event-triggering control, T-S fuzzy model, actuator failure, cyber attack",

author = "Shanling Dong and Zhiyi Lai and Bo Wang and Wu, \{Zheng Guang\} and Meiqin Liu and Guanrong Chen",

year = "2025",

doi = "10.1109/LCSYS.2025.3554846",

language = "英语",

volume = "9",

pages = "62--67",

journal = "IEEE Control Systems Letters",

issn = "2475-1456",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Dynamic Event-Triggering Security Control of T-S Fuzzy Model-Based Unmanned Marine Vehicles

AU - Dong, Shanling

AU - Lai, Zhiyi

AU - Wang, Bo

AU - Wu, Zheng Guang

AU - Liu, Meiqin

AU - Chen, Guanrong

PY - 2025

Y1 - 2025

N2 - —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.

AB - —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.

KW - Dynamic event-triggering control

KW - T-S fuzzy model

KW - actuator failure

KW - cyber attack

UR - https://www.scopus.com/pages/publications/105003437114

U2 - 10.1109/LCSYS.2025.3554846

DO - 10.1109/LCSYS.2025.3554846

M3 - 文章

AN - SCOPUS:105003437114

SN - 2475-1456

VL - 9

SP - 62

EP - 67

JO - IEEE Control Systems Letters

JF - IEEE Control Systems Letters

ER -

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

Abstract

Keywords

UN SDGs

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