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  • 标题:Multi-agent Localization of A Common Reference Coordinate Frame: An Extrinsic Approach
  • 本地全文:下载
  • 作者:Quoc Van Tran ; Hyo-Sung Ahn
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:20
  • 页码:67-72
  • DOI:10.1016/j.ifacol.2019.12.128
  • 语种:English
  • 出版社:Elsevier
  • 摘要:This paper studies the problem of multi-agent cooperative localization of a common reference coordinate frame in ℝ3. Each agent in a system maintains a body-fixed coordinate frame and its actualframe transformation(translation and rotation) from the global coordinate system is unknown. The mobile agents aim to determine theirtrajectories of rigid-body motions(or the frame transformations, i.e., rotations and translations) with respect to the global coordinate frame up to a common frame transformation by using local measurements and information exchanged with neighbors. We present two frame localization schemes which compute the rigid-body motions of the agents with asymptotic stability and finite-time stability properties, respectively. Under both localization laws, the estimates of the frame transformations of the agents converge to the actual frame transformations almost globally and up to an unknown constant transformation bias. Finally, simulation results are provided.
  • 关键词:KeywordsMulti-agent systemsFrame LocalizationDistributed computationEstimation algorithmsSensor networksMeasurementinstrumentation
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