• DocumentCode
    2572789
  • Title

    A methodology for identification of uncertain LFR model of the human operator for telemanipulation with force-feedback

  • Author

    Laroche, Edouard ; Barbé, Laurent ; Bayle, Bernard ; De Mathelin, Michel

  • Author_Institution
    Image Sci., Comput. Sci. & Remote Sensing Lab., Univ. of Strasbourg, Illkirch, France
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    2005
  • Lastpage
    2010
  • Abstract
    In this paper, a method for determining an uncertain model is proposed and applied to the identification of the human operator in a telemanipulation scheme. The method consists of two steps: first, several LTI models are identified around different configurations; second, an uncertain linear fractional representation is derived so that it encompasses all the LTI models. As an originality, the approach do not require interpolation of the LTI models and the uncertain parameters do not need to have physical meaning. The method is then applied to identify an original uncertain model of the human operator from experiments. The model is then used to analyse the robustness of a teleoperation setup.
  • Keywords
    force feedback; linear systems; manipulators; robust control; telerobotics; time-varying systems; uncertain systems; LTI models; force-feedback; human operator; identification; robustness; telemanipulation; uncertain LFR model; Adaptation model; Computational modeling; Force; Humans; Manipulators; Robustness; Uncertainty; LFR model identification; human model; robustness analysis; telemanipulation system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717433
  • Filename
    5717433