• DocumentCode
    2461309
  • Title

    Objective-driven ilc for point-to-point movement tasks

  • Author

    Freeman, Chris T. ; Cai, Zhonglun ; Lewin, Paul L. ; Rogers, Eric

  • Author_Institution
    Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    252
  • Lastpage
    257
  • Abstract
    A framework is developed which allows a general class of ILC algorithm to be applied to tasks which require the plant output to reach a given point in a set time. It is shown that superior convergence and robustness properties are obtained compared with those associated with using the original ILC law to track an arbitrary reference trajectory satisfying the end-point conditions. Experimental results are given to confirm the theoretical findings, and verify the favourable qualities of this novel approach to point-to-point movement control.
  • Keywords
    convergence; iterative methods; learning systems; robust control; ILC algorithm; convergence; iterative learning control; point-to-point movement task; robustness; Control systems; Convergence; Electrical stimulation; Iterative algorithms; Rehabilitation robotics; Robustness; Service robots; Tracking; Trajectory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5159965
  • Filename
    5159965