Event-Triggered Fuzzy Security Path Following Control for Autonomous Ground Vehicles With Aperiodic DoS Attacks

In this paper, an event-triggered fuzzy security path following control problem is investigated for autonomous ground vehicles subject to aperiodic denial of service attacks. Firstly, a switched interval type-2 fuzzy model is established to depict the vehicle path following system, in which both the vehicle dynamic nonlinearities and the aperiodic denial of service attacks are well addressed. Secondly, to guarantee that the latest packets are sent out immediately at the end of the denial of service attacks, a novel attack-dependent event-triggered scheme is developed to improve the signal transmission efficiency and reduce the performance loss caused by denial of service attacks. Then, by constructing a piecewise Lyapunov function based on the average dwell time of the denial of service attacks, a security control method is proposed to guarantee the exponential stability and the path following performance of the switched fuzzy path following system. Finally, the superiority of the proposed control strategy is verified by experimental tests as compared with the current path following control methods.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-06-02
DOI
https://doi.org/10.1109/tits.2025.3571651
Citations
1
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
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article

Event-Triggered Fuzzy Security Path Following Control for Autonomous Ground Vehicles With Aperiodic DoS Attacks

Panshuo Li, Jing Zhao, Zhengchao Xie, Pak Kin Wong et al.
1 citations
IEEE Transactions on Intelligent Transportation Systems
Distributed systems and fault tolerance
1.49
article

Event-Triggered Fuzzy Security Path Following Control for Autonomous Ground Vehicles With Aperiodic DoS Attacks

Panshuo Li, Jing Zhao, Zhengchao Xie, Pak Kin Wong, Junru Jia, Wenfeng Li
article en
1 citations

Abstract

In this paper, an event-triggered fuzzy security path following control problem is investigated for autonomous ground vehicles subject to aperiodic denial of service attacks. Firstly, a switched interval type-2 fuzzy model is established to depict the vehicle path following system, in which both the vehicle dynamic nonlinearities and the aperiodic denial of service attacks are well addressed. Secondly, to guarantee that the latest packets are sent out immediately at the end of the denial of service attacks, a novel attack-dependent event-triggered scheme is developed to improve the signal transmission efficiency and reduce the performance loss caused by denial of service attacks. Then, by constructing a piecewise Lyapunov function based on the average dwell time of the denial of service attacks, a security control method is proposed to guarantee the exponential stability and the path following performance of the switched fuzzy path following system. Finally, the superiority of the proposed control strategy is verified by experimental tests as compared with the current path following control methods.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(9)
Guangdong University of Technology (CN), University of Macau (MO), South China University of Technology (CN), Northeastern University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Fundamental Research Funds for the Central Universities, Basic and Applied Basic Research Foundation of Guangdong Province
Climate action
Openalex Percentile: Top 17%
Distributed systems and fault tolerance
1.49
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