Event-Triggered-Based Fuzzy Control for Networked Control Systems with Compensation Mechanism Against DoS Attacks

This paper investigates the design problem of event-triggered (ET) fuzzy controller for networked control systems subject to denial-of-service (DoS) attacks via compensation scheme. Firstly, for constrained communication bandwidth, an ET scheme is introduced to save network resources. Secondly, based on the DoS attacks compensation scheme, the unfavorable impact of DoS attacks on the system is alleviated. Compared with most of the existing methods, the attack compensation mechanism introduced in this paper can maintain data transmission during DoS attacks. Combining the above content, the Lyapunov stability theory is utilized to identify the sufficient conditions for the closed-loop system to be asymptotically stable. Finally, simulation verification is presented to demonstrate the effectiveness of the proposed control strategy.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/icist63249.2024.10805320
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Event-Triggered-Based Fuzzy Control for Networked Control Systems with Compensation Mechanism Against DoS Attacks

Yingnan Pan, Changhao Li
Network Security and Intrusion Detection
article

Event-Triggered-Based Fuzzy Control for Networked Control Systems with Compensation Mechanism Against DoS Attacks

Yingnan Pan, Changhao Li
article en

Abstract

This paper investigates the design problem of event-triggered (ET) fuzzy controller for networked control systems subject to denial-of-service (DoS) attacks via compensation scheme. Firstly, for constrained communication bandwidth, an ET scheme is introduced to save network resources. Secondly, based on the DoS attacks compensation scheme, the unfavorable impact of DoS attacks on the system is alleviated. Compared with most of the existing methods, the attack compensation mechanism introduced in this paper can maintain data transmission during DoS attacks. Combining the above content, the Lyapunov stability theory is utilized to identify the sufficient conditions for the closed-loop system to be asymptotically stable. Finally, simulation verification is presented to demonstrate the effectiveness of the proposed control strategy.

Bohai University (CN)
Openalex Percentile: Top 72%
Network Security and Intrusion Detection
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Event-Triggered-Based Fuzzy Control for Networked Control Systems with Compensation Mechanism Against DoS Attacks — Yingnan Pan, Changhao Li · (2024) | TGRS Research Map | TGRS