• DocumentCode
    2514281
  • Title

    Input-to-state stabilizing MPC for constrained nonlinear system with persistent disturbance

  • Author

    Shi, Donglin ; Mao, Zhizhong

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    1126
  • Lastpage
    1129
  • Abstract
    To guarantee both the robustness performance and the stability for a nonlinear system with persistent disturbance, a min-max nonlinear MPC scheme is designed in this paper. The terminal region and the terminal stable control law are computed off-line by transferring stable condition and the state/input constraints into a set of linear matrix inequalities and solving them. Furthermore, it is proved that the closed-loop system is input-to-state stable with relation to persistent disturbance. An example illustrates the good performance of the developed method.
  • Keywords
    closed loop systems; linear matrix inequalities; nonlinear control systems; stability; closed-loop system; constrained nonlinear system; input-to-state stabilizing MPC; linear matrix inequalities; min-max nonlinear MPC scheme; persistent disturbance; stability; terminal stable control law; Linear matrix inequalities; Nonlinear systems; Predictive control; Predictive models; Robustness; Stability analysis; Symmetric matrices; Disturbance; Input-to-state stability; Model predictive control; Nonlinear system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968354
  • Filename
    5968354