• DocumentCode
    468902
  • Title

    Any order approximate solution of the state equation for controlled nonlinear systems

  • Author

    Cao, Shao-zhong ; Ai, Dong-Mei ; Liu, He-ping ; Tu, Xu-Yan

  • Author_Institution
    Beijing Inst. of Graphic Commun., Beijing
  • Volume
    1
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    44
  • Lastpage
    48
  • Abstract
    Based on the solution of the linear state equation, the mean square envelope matrix can be obtained for a linear approximation to the controlled nonlinear system, and the transfer rule of mean square envelope matrix for the nonlinear system is discussed. By making of the Taylor expansion, the nonlinear state equation of controlled systems under ideal state is transformed to a set of ordinary differential equations with infinite series expression. Based on the solution of this set of linear state equation, the integral equation of the nonlinear state equation is also obtained by utilizing constant variation method. Finally, any order approximate solution of the nonlinear state equation is given by utilizing successive approximation method.
  • Keywords
    approximation theory; differential equations; integral equations; nonlinear control systems; Taylor expansion; controlled nonlinear system; infinite series expression; integral equation; linear approximation; mean square envelope matrix; nonlinear state equation; order approximate solution; ordinary differential equation; Communication system control; Control systems; Control theory; Differential equations; Integral equations; Linear approximation; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Taylor series; Taylor expansion; Volterra’s integral equation; any order approximate solution; matrix of envelope; nonlinear state equation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4420633
  • Filename
    4420633