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  • 标题:An Indirect Adaptive Control Approach to Image Based Visual Servoing for Translational Trajectory Tracking
  • 本地全文:下载
  • 作者:Jonathan Fried ; Fernando Lizarralde ; Antonio C. Leite
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:3815-3820
  • DOI:10.1016/j.ifacol.2020.12.2073
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this work, it is considered an image based visual servoing control problem, for uncertain robot manipulators. Visual feedback is provided by a fixed monocular camera with uncertain parameters, for the purpose of tracking translational trajectories of a spherical target, both the trajectory on image plane and depth. Based on a cascade structure, the proposed adaptive visual servoing is combined with an adaptive motion control strategy. Stability and passivity properties are analyzed with the Lyapunov method. Simulation results illustrate and highlight performance of the proposed controller.
  • 关键词:KeywordsAdaptive ControlPassivity-based controlTrackingVisual ServoingCascade Control
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