非线性系统
控制理论(社会学)
多智能体系统
模糊控制系统
迭代学习控制
模糊逻辑
计算机科学
循环(图论)
数学优化
共识
订单(交换)
数学
控制(管理)
人工智能
物理
经济
组合数学
量子力学
财务
作者
Jiaxi Chen,Jin Xie,Junmin Li,Weisheng Chen
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:32 (1): 255-265
被引量:2
标识
DOI:10.1109/tfuzz.2023.3296572
摘要
This article studies the human-in-the-loop fuzzy iterative learning control of leader-following consensus for unknown mixed-order nonlinear multi-agent systems. The human operator participates in the cooperative control of multi-agent systems, which indirectly affects the followers by directly controlling the leader. Moreover, the leader's input is unknown to all followers. The mixed-order multi-agent systems contain both first- and second-order agents, which include the special case of the second-order multi-agent systems. By using fuzzy logic systems to approximate unknown nonlinear dynamics, a fully distributed fuzzy iterative learning controller with time-varying coupling gain is designed. In the estimation parameters, a $\sigma$ -modification related to the number of iterations is designed to ensure the convergence of the closed-loop systems. Based on the new composite energy function, the exact consensus of the closed-loop systems is proved. Finally, the simulation results verify the effectiveness of the designed control algorithm.
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