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A cyclic pursuit framework for networked mobile agents based on vector field approach

机译:基于向量场方法的网络移动代理循环追踪框架

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摘要

This paper proposes a pursuit formation control scheme for a network of double-integrator mobile agents based on a vector field approach. In a leaderless architecture, each agent pursues another one via a cyclic topology to achieve a regular polygon formation. On the other hand, the agents are exposed to a rotational vector field such that they rotate around the vector field centroid, while they keep the regular polygon formation. The main problem of existing approaches in the literature for cyclic pursuit of double-integrator multiagent systems is that under those approaches, the swarm angular velocity and centroid are not controllable based on missions and agents capabilities. However, by employing the proposed vector field approach in this paper, while keeping a regular polygon formation, the swarm angular velocity and centroid can be determined arbitrary. The obtained results can be extended to achieve elliptical formations with cyclic pursuit as well. Simulation results for a team of eight mobile agents verify the accuracy of the proposed control scheme. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文提出了一种基于矢量场方法的双积分移动代理网络的追踪形成控制方案。在无领导者体系结构中,每个代理都通过循环拓扑寻求另一个,以实现规则的多边形形成。另一方面,代理会暴露在旋转的矢量场中,以便它们围绕矢量场的质心旋转,同时保持规则的多边形形成。文献中用于循环跟踪双积分多智能体系统的现有方法的主要问题是,在这些方法下,基于任务和智能体的能力,无法控制群角速度和质心。然而,通过采用本文提出的矢量场方法,在保持规则多边形形成的同时,可以任意确定群角速度和质心。所获得的结果也可以扩展为实现具有循环追踪的椭圆形。由八个移动代理组成的团队的仿真结果验证了所提出的控制方案的准确性。 (C)2018富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2019年第2期|1113-1130|共18页
  • 作者单位

    Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada;

    Amirkabir Univ Technol, Ctr Excellence Control & Robot, Dept Elect Engn, Tehran 15914, Iran;

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