• DocumentCode
    3561896
  • Title

    Adaptive passification of nonlinear systems

  • Author

    Seron, Maria M. ; Hill, David J. ; Fradkov, Alexander L.

  • Author_Institution
    Dept. of Electr. Eng., Newcastle Univ., NSW, Australia
  • Volume
    1
  • fYear
    1994
  • Firstpage
    190
  • Abstract
    In this paper we consider feedback passive systems, defined as nonlinear systems that can be rendered (strictly) passive by means of state feedback. For feedback passive systems in a parametric normal form, we present an adaptive controller that effectively “passifies” the system. The proposed control uses techniques of speed-gradient (S-G) methodology. Stability results can be given which do not require the plant to be linear in the parameters. Moreover, examples indicate that the S-G approach has several good features such as avoiding overparametrization, preserving physical structure and improving the speed of convergence
  • Keywords
    adaptive control; nonlinear control systems; state feedback; adaptive passification; convergence speed; feedback passive systems; nonlinear systems; overparametrization avoidance; parametric normal form; physical structure preservation; speed-gradient methodology; stability results; state feedback; Adaptive control; Control systems; Convergence; Lakes; Mechanical systems; Motion estimation; Nonlinear control systems; Nonlinear systems; State feedback; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.411023
  • Filename
    411023