• DocumentCode
    3215603
  • Title

    Adaptive Control of MIMO Nonlinear Systems using Nussbaum Gain

  • Author

    Ying Zhou ; Yuqiang Wu

  • Author_Institution
    Res. Inst. of Autom., Southeast Univ., Nanjing, China
  • fYear
    2006
  • fDate
    7-11 Aug. 2006
  • Firstpage
    261
  • Lastpage
    266
  • Abstract
    A new output feedback adaptive control scheme for multi-input and multi-output nonlinear systems with parametric uncertainty is presented based on the Nussbaum gain method and the backstepping approach. The high frequency gain matrix of the linear part of the system is not necessarily positive definite, but can be transformed into a lower or upper triangular matrix whose signs of diagonal elements are unknown. The new required condition for the high frequency gain matrix can be easily checked for certain plants so that the proposed method is widely applicable. The global stability of the closed-loop systems is guaranteed through this control scheme, at the same time the tracking error converges to zero.
  • Keywords
    MIMO systems; adaptive control; closed loop systems; feedback; matrix algebra; nonlinear control systems; stability; MIMO nonlinear systems; Nussbaum gain; backstepping approach; global stability; high frequency gain matrix; output feedback adaptive control scheme; parametric uncertainly; tracking error; triangular matrix; Adaptive control; Backstepping; Control systems; Error correction; Frequency; MIMO; Nonlinear systems; Output feedback; Stability; Uncertainty; Backstepping method; Global stability; MIMO nonlinear systems; Nussbaum gain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2006. CCC 2006. Chinese
  • Conference_Location
    Harbin
  • Print_ISBN
    7-81077-802-1
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.280965
  • Filename
    4060513