计算机科学
非线性系统
控制理论(社会学)
模糊控制系统
自适应控制
多智能体系统
模糊逻辑
非线性动力系统
控制(管理)
人工智能
物理
量子力学
作者
Yuanyuan Xu,Hongjing Liang,Tieshan Li,Yue Long,Yuhua Cheng,Wei Wang
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2024-03-18
卷期号:32 (6): 3568-3580
标识
DOI:10.1109/tfuzz.2024.3376402
摘要
This paper proposes a novel dynamic eventtriggered scheme for nonlinear multi-agent systems under denialof-service (DoS) attacks via an adaptive fuzzy resilient control method. At the beginning, fuzzy logic systems are utilized to identify the unknown system dynamics. Then, a reliable attack detection mechanism forms the basis for establishing a dynamic event-triggered protocol, where dynamic parameters are introduced to adjust the threshold of event-triggered conditions. Compared with common attack detection methods relying on residuals between system and observer values, a novel and reliable mechanism for detecting DoS attacks is proposed, grounded in the logical relationship of voltage level signals derived from the outputs of detection components. Finally, a backstepping recursive design framework is utilized for constructing an eventtriggered adaptive fuzzy controller. Through the Lyapunov analysis, it is strictly demonstrated that, even under DoS attacks, the followers remain inside the leaders' defined convex hull. The effectiveness of the presented control scheme is illustrated through the simulation results.
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