• DocumentCode
    2974572
  • Title

    Approximate normal forms of nonlinear systems

  • Author

    Krener, Arthur J. ; Karahan, Sinan ; Hubbard, Mont

  • Author_Institution
    Inst. of Theoretical Dynamics, California Univ., Davis, CA, USA
  • fYear
    1988
  • fDate
    7-9 Dec 1988
  • Firstpage
    1223
  • Abstract
    A method is presented to solve the approximate linearization problem of nonlinear control systems. The problem is reduced to the solution of a set of linear equations as follows. First, the generalized homological equations are derived. By introducing an appropriate basis for expressing higher degree monomials in the vector field, a set of equations linear in the coefficients of the monomials are found. An exact solution to this set of equations is not always possible. A least-squares solution is proposed that minimizes in a statistical sense the error in the approximation
  • Keywords
    least squares approximations; linearisation techniques; nonlinear control systems; approximate linearization; approximate normal forms; generalized homological equations; least squares approximations; linear equations; nonlinear control systems; Control systems; Linear approximation; Linear systems; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear equations; Nonlinear systems; Power system modeling; State feedback; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/CDC.1988.194516
  • Filename
    194516