反推
控制理论(社会学)
非线性系统
模糊逻辑
模糊控制系统
计算机科学
自适应控制
多智能体系统
数学
控制(管理)
人工智能
量子力学
物理
作者
Haodong Zhou,Shuai Sui,Shaocheng Tong
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:: 1-10
标识
DOI:10.1109/tfuzz.2022.3197938
摘要
This paper investigates the finite-time adaptive fuzzy prescribed performance formation control problem for high-order nonlinear multi-agent systems (MASs). Fuzzy logic systems (FLSs) are adopted to approximate the unknown nonlinear dynamics. By combining the dynamic surface control (DSC) technique and backstepping recursive design, an adaptive fuzzy prescribed performance formation control algorithm is developed. To reduce unnecessary transmission of network resources, a novel event-triggered mechanism is proposed in the control method. Subsequently, based on the adding power integral method and finite-time stability theory, it is proved that all signals of the controlled system are bounded and the tracking errors do not exceed the prescribed performance bounds in a finite time. Simulation results are given to verify that the presented formation control scheme achieves desired results.
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