• DocumentCode
    3279551
  • Title

    An intelligent Cooperative Control Architecture

  • Author

    Redding, J. ; Geramifard, A. ; Undurti, A. ; Han-Lim Choi ; How, J.P.

  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    57
  • Lastpage
    62
  • Abstract
    This paper presents an extension of existing cooperative control algorithms that have been developed for multi-UAV applications to utilize real-time observations and/or performance metric(s) in conjunction with learning methods to generate a more intelligent planner response. We approach this issue from a cooperative control perspective and embed elements of feedback control and active learning, resulting in an new intelligent Cooperative Control Architecture (iCCA). We describe this architecture, discuss some of the issues that must be addressed, and present illustrative examples of cooperative control problems where iCCA can be applied effectively.
  • Keywords
    aerospace control; cooperative systems; feedback; intelligent control; learning (artificial intelligence); multi-robot systems; remotely operated vehicles; telerobotics; active learning; feedback control; iCCA; intelligent cooperative control architecture; multi-UAV; Aerodynamics; Aerospace control; Algorithm design and analysis; Communication system control; Error correction; Feedback control; Intelligent control; Learning systems; Robustness; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5530666
  • Filename
    5530666