• DocumentCode
    3744016
  • Title

    Point-to-point iterative learning control with optimal tracking time allocation

  • Author

    Yiyang Chen;Bing Chu;Christopher T. Freeman

  • Author_Institution
    Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, United Kingdom
  • fYear
    2015
  • Firstpage
    6089
  • Lastpage
    6094
  • Abstract
    This paper proposes a novel design methodology that embeds optimal tracking time allocation within the point-to-point iterative learning control framework, thereby enabling significant reduction in the input energy required to follow a given point-to-point motion trajectory. The problem is formulated into an optimisation framework for which a two stage design approach is developed based on gradient method minimisation. Experimental results from a practical implementation of the proposed methodology using a gantry robot experimental test platform demonstrate its effectiveness.
  • Keywords
    "Tracking","Robots","Resource management","Gradient methods","Feedforward neural networks","Performance analysis"
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
  • Type

    conf

  • DOI
    10.1109/CDC.2015.7403177
  • Filename
    7403177