• DocumentCode
    2482326
  • Title

    L2 Gain Approximation of Nonlinear Systems: a Heuristic Approach

  • Author

    Siahaan, Hardy B.

  • Author_Institution
    Dept. of Eng. Cybern., Norwegian Univ. of Sci. & Technol., Trondheim
  • fYear
    2006
  • fDate
    13-15 Dec. 2006
  • Firstpage
    3696
  • Lastpage
    3701
  • Abstract
    This paper considers a computational mechanism to approximate a very restricted class of polynomial nonlinear system with a reduced order model. First a necessary condition for the nonlinear system to have a reduced model is given. Then a heuristic approach which utilizes the necessary condition is established. The method computes a reduced model for the nonlinear system such that the error model is finite gain Lscr2 stable
  • Keywords
    asymptotic stability; nonlinear systems; poles and zeros; polynomials; reduced order systems; Lscr2 gain approximation; Lscr2 stability; polynomial nonlinear system; reduced order model; Control system synthesis; Controllability; Functional programming; Linear systems; Nonlinear control systems; Nonlinear systems; Observability; Polynomials; Reduced order systems; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2006 45th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    1-4244-0171-2
  • Type

    conf

  • DOI
    10.1109/CDC.2006.376849
  • Filename
    4177949
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2482326