• DocumentCode
    2459937
  • Title

    Robust adaptive optimal control modification with large adaptive gain

  • Author

    Nguyen, Nhan T. ; Ishihara, Abraham K.

  • Author_Institution
    Ames Res. Center, Intell. Syst. Div., NASA, Moffett Field, CA, USA
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    2581
  • Lastpage
    2586
  • Abstract
    A new adaptive control modification is presented that can achieve robust adaptation with a large adaptive gain without incurring high-frequency oscillations as with the standard model-reference adaptive control. The modification is based on an optimal control formulation that minimizes the L2 norm of the tracking error. The optimality condition is used to derive the modification using the gradient method. The adaptive optimal control modification results in a stable adaptation and allows a large adaptive gain to be used for better tracking performance with improved stability robustness. Simulations demonstrate the effectiveness of the proposed modification.
  • Keywords
    gradient methods; minimisation; model reference adaptive control systems; optimal control; robust control; L2 norm minimization; adaptive gain; gradient method; optimal control formulation; robust adaptive optimal control modification; standard model reference adaptive control; tracking error; Adaptive control; Approximation error; Error correction; Neural networks; Optimal control; Performance gain; Programmable control; Robust control; Robust stability; 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.2009.5159904
  • Filename
    5159904