人在回路中
计算机科学
多智能体系统
班级(哲学)
控制(管理)
控制器(灌溉)
控制理论(社会学)
数学优化
人工智能
数学
农学
生物
作者
Zhen Qin,Huai‐Ning Wu,Jin-Liang Wang
出处
期刊:Neurocomputing
[Elsevier BV]
日期:2024-03-05
卷期号:581: 127485-127485
被引量:9
标识
DOI:10.1016/j.neucom.2024.127485
摘要
In this study, we consider a class of human-in-the-loop (HiTL) multi-agent systems that divide agents into two parts: the nonautonomous agents controlled by human operators, and the autonomous agents. First, the human operators' models are incorporated into the multi-agent system for constructing an HiTL multi-agent system model. Next, the cooperative consensus control problem is explored for the HiTL multi-agent system, and a method is proposed that enables autonomous agents to proactively collaborate with human-controlled agents in order to mitigate the effects of human time-delays. We first obtain the consensus sufficient condition for the HiTL multi-agent system without human time-delays, and then give the method by only designing the autonomous agents' control gains to guarantee consensus. Subsequently, the delay-dependent consensus sufficient condition for the HiTL multi-agent system with human time-delays is also offered, and the method of controller design is updated for this case. Finally, a simulation experiment was designed, and the simulation results are presented to illustrate the effectiveness of the proposed methods.
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