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)
发表状态已发表
DOI10.1109/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
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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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