ShanghaiTech University Knowledge Management System
Enhancing Convergence Speed of Multi-Agent Formation Control via Laplacian Functions | |
2023-11-09 | |
会议录名称 | 2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO)
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发表状态 | 已发表 |
DOI | 10.1109/ROBIO58561.2023.10354740 |
摘要 | Formation control is an essential research topic in multi-agent systems (MAS), while the convergence speed of formation is critically important for applications with real-time performance requirements, such as rescuing tasks. However, there is still a lack of effective methods for practically usable formation control with controllable convergence speed. This paper introduces a novel Laplacian function-based approach to enhance the convergence speed of MAS in formation control. By utilizing the Laplacian matrix of the communication graph, eigenvalues are mapped to desired positions, thereby improving the convergence speed of the formation process. Additionally, this approach enables estimation and manipulation of the convergence speed, offering flexibility and adaptability to meet application-specific requirements. The proposed scheme is experimentally validated through multiple quadrotors, demonstrating its effectiveness and practical feasibility. Experimental results show that the formation convergence speed can be well controlled by appropriately designing the Laplacian functions. © 2023 IEEE. |
关键词 | Laplace equations Estimation Formation control Eigenvalues and eigenfunctions Real-time systems Task analysis Robots |
会议名称 | 2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023 |
会议地点 | Koh Samui, Thailand |
会议日期 | 4-9 Dec. 2023 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
EI入藏号 | 20240315404497 |
原始文献类型 | Conference article (CA) |
来源库 | IEEE |
文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/349500 |
专题 | 信息科学与技术学院 信息科学与技术学院_硕士生 信息科学与技术学院_PI研究组_汪阳组 信息科学与技术学院_PI研究组_刘松组 |
通讯作者 | Wang, Yang |
作者单位 | ShanghaiTech University, School of Information Science and Technology, Shanghai; 201210, China |
第一作者单位 | 信息科学与技术学院 |
通讯作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Zhang, Qilong,He, Binglin,Zhao, Yangyang,et al. Enhancing Convergence Speed of Multi-Agent Formation Control via Laplacian Functions[C]:Institute of Electrical and Electronics Engineers Inc.,2023. |
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