灵活性(工程)
计算机科学
控制器(灌溉)
远程实验室
互联网
多智能体系统
分布式计算
物联网
嵌入式系统
控制工程
工程类
人工智能
操作系统
农学
统计
生物
数学
作者
Shengwang Ye,Shuai Liu,Wenshan Hu,Zhongcheng Lei
标识
DOI:10.1109/tii.2023.3318306
摘要
This article introduces an Internet of Things (IoT)-based solution to a multiagent system (MAS) experimentation with high space utilization and high flexibility. The solution has been applied in the Networked Control System Laboratory (NCSLab), which provides hundreds of educational equipment instances, offering abundant choices for MAS experiments. Based on the networked control theory and integrated circuit technology, a novel compact architecture for online laboratories is proposed first. Combined with multiple features of NCSLab, such as online algorithm design, parameter tuning, and live video monitor, researchers can conduct interactive verification. To achieve good dynamic performance and coordinated performance in a communication-constrained network, a predictive state feedback controller for MAS is proposed. Three web-based leader–follower MAS experiments are carried out to demonstrate the effectiveness of the proposed controller and powerful configurable ability for the MAS in NCSLab. The proposed IoT-based compact laboratory provides a cost-effective and space-efficient solution for other remote laboratories.
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