• DocumentCode
    3647635
  • Title

    A unifying framework for analysis and design of extremum seeking controllers

  • Author

    Dragan Nešić; Ying Tan;Chris Manzie;Alireza Mohammadi;Will Moase

  • Author_Institution
    Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville 3010, Victoria, Australia
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    4274
  • Lastpage
    4285
  • Abstract
    We summarize a unifying design approach to continuous-time extremum seeking that was recently reported by the authors. This approach is based on a feedback control paradigm that was to the best of our knowledge explicitly summarized for the first time in this form in our recent work. This paradigm covers some existing extremum seeking schemes, provides a direct link to off-line optimization and can be used as a unifying framework for design of novel extremum seeking schemes. Moreover, we show that other extremum seeking problem formulations can be interpreted using this unifying viewpoint. We believe that this unifying view will be invaluable to systematically design and analyze extremum seeking controllers in various settings.
  • Keywords
    "Optimization","Algorithm design and analysis","Convergence","Heuristic algorithms","Steady-state","Vectors","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • ISSN
    1948-9439
  • Print_ISBN
    978-1-4577-2073-4
  • Electronic_ISBN
    1948-9447
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244001
  • Filename
    6244001