• DocumentCode
    2290480
  • Title

    Self-organizing approximation based control

  • Author

    Farrell, J.A. ; Zhao, Y.

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Riverside, CA
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Abstract
    Adaptive approximation based control typically uses approximators with a predefined set of basis functions. Recent methods, spatially dependent methods, have defined self-organizing approximators where new locally supported basis elements were incorporated when existing basis elements were insufficiently excited. In this article, performance dependent self-organizing approximators will be defined. The designer specifies positive tracking error criteria. The self-organizing approximation based controller then monitors the tracking performance and adds basis elements only as needed to achieve the tracking specification. The paper includes a complete stability analysis
  • Keywords
    adaptive control; nonlinear control systems; stability; adaptive approximation based control; adaptive nonlinear control; locally weighted learning; self-organizing approximation based control; stability analysis; tracking specification; Adaptive control; Approximation algorithms; Approximation error; Automatic control; Bandwidth; Control systems; Function approximation; Programmable control; Stability analysis; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2006
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    1-4244-0209-3
  • Electronic_ISBN
    1-4244-0209-3
  • Type

    conf

  • DOI
    10.1109/ACC.2006.1657240
  • Filename
    1657240