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Control of a formation with one cyclic relation in 3-dimensional space

Yongguang Yu, Han-Xiong Li, Guoguang Wen

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    The paper investigates the flocking behaviors of multi-agent formation in 3-dimensional space which are based on leader following, where the underlying model of a formation is graphical. When the graph is undirected, a class of decentralized control laws for a group of mobile agents are proposed under the conditions that the topology of the control interconnections is fixed. These control laws are a combination of attractive/repulsive and alignments forces which can guarantee the collision avoidance and cohesion of the formation and an aggregate motion along the same heading direction of the leader. And when the graph is directed, a formation of four point agents moving in 3-dimensional space is considered, where one agent is a leader, and the other agents have a cyclic ordering with each one required to maintain a given distance from its neighbor. A control law is obtained, which can be guaranteed the distance preserved for the formation. © 2008 IEEE.
    Original languageEnglish
    Title of host publication2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008
    Pages415-420
    DOIs
    Publication statusPublished - 2008
    Event2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008 - Chengdu, China
    Duration: 21 Sept 200824 Sept 2008

    Conference

    Conference2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008
    PlaceChina
    CityChengdu
    Period21/09/0824/09/08

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Research Keywords

    • Cyclic relation
    • Decentralized control
    • Leader
    • Multi-agent formation

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