• DocumentCode
    2650297
  • Title

    Approximate feedback linearization: approximate integrating factors

  • Author

    Banaszuk, Andrzej ; Hauser, John

  • Author_Institution
    Sch. of Math., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    1695
  • Abstract
    Under the assumption of linear controllability a single input nonlinear system is feedback linearizable if and only if its characteristic distribution is involutive. We define a characteristic one-form to be any one-form annihilating the characteristic distribution. A characteristic one-form is defined uniquely up to scaling by a nonzero smooth function. It is well-known that there exist a scaling function (an integrating factor) that makes a given characteristic form exact if and only if the system is exactly feedback linearizable. For the systems that are not linearizable, we consider the problem of choosing an optimal scaling factor (best approximate integrating factor) for a given characteristic one form. The approximate integrating factors may be applied to approximate feedback linearization and to obtain some measures of noninvolutivity of the characteristic distribution.
  • Keywords
    approximation theory; controllability; feedback; linearisation techniques; nonlinear systems; optimisation; approximate feedback linearization; approximate integrating factors; characteristic distribution; characteristic one-form; controllability; noninvolutivity; nonzero smooth function; optimal scaling factor; single input nonlinear system; Control systems; Controllability; Linear approximation; Linear feedback control systems; Nonlinear systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.752360
  • Filename
    752360