• DocumentCode
    550342
  • Title

    Feedback linearization optimal disturbances rejection approach of bilinear systems

  • Author

    Gao De-xin ; Yang Xiao-Yan ; Cui Bao-tong

  • Author_Institution
    Sch. of Internet of Things Eng., Jiangnan Univ., Wuxi, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    359
  • Lastpage
    363
  • Abstract
    This paper considers the optimal control problem for the bilinear system affected by measurable disturbances based on state feedback linearization. Firstly, the model of the bilinear system affected by the disturbances is changed to an affine nonlinear system affected by disturbances. Secondly, according to the concept of relative order of the output with respect to the input, we change a nonlinear system to a pseudo linear system model through the coordinate transformation, Then based on the theory of linear quadratic optimal control, the optimal controller is designed. By solving the Riccati equation and the Sylvester equation, a feedforward/feedback transformation is designed which is used to eliminate the influence of the disturbances. At last, the simulation results show the effectiveness of the method.
  • Keywords
    Riccati equations; bilinear systems; control system synthesis; feedforward; linear quadratic control; nonlinear control systems; state feedback; Riccati equation; Sylvester equation; affine nonlinear system; bilinear system; coordinate transformation; feedback transformation; feedforward transformation; linear quadratic optimal control; optimal control problem; optimal controller design; optimal disturbances rejection approach; pseudo linear system model; state feedback linearization; Approximation methods; Biological system modeling; Equations; Linear systems; Mathematical model; Nonlinear systems; Optimal control; Bilinear system; Disturbance Rejection; Feedback linearization; Optimal Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6000680