控制理论(社会学)
模糊逻辑
欺骗
多智能体系统
计算机科学
模糊控制系统
非线性系统
观察员(物理)
自适应控制
控制(管理)
人工智能
心理学
社会心理学
物理
量子力学
作者
Lexin Chen,Shaocheng Tong
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2024-02-01
卷期号:20 (2): 1808-1818
被引量:17
标识
DOI:10.1109/tii.2023.3281703
摘要
This article investigates the fuzzy adaptive output-feedback consensus control problem for nonlinear multiagent systems with network communication encountering deception attacks. Fuzzy logic systems are used to approximate unknown nonlinear functions, and a novel fuzzy state observer is established to estimate the states of encountered deception attacks. For the case of unknown time-varying gains caused by deception attacks, a projection operator-based compensation mechanism is designed. Consequently, under the framework of adaptive backstepping, a novel adaptive fuzzy output-feedback consensus control method is proposed. The proposed control method can not only ensure that all signals remain bounded, but also make all followers maintain consensus with the trajectory of the leader. Finally, the simulation results are given to confirm the effectiveness of the proposed control scheme.
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