• DocumentCode
    2086631
  • Title

    Adaptive robust control of a class of nonlinear systems with unknown control coefficient and disturbances

  • Author

    Du Jialu ; Wang Siyuan ; Zheng Kai ; Yu Shuanghe

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    579
  • Lastpage
    584
  • Abstract
    Incorporating Nussbaum function gain into adaptive backstepping, this paper develops an adaptive nonlinear robust control scheme for a class of nonlinear strict-feedback systems with completely unknown control coefficient and unknown bounded disturbance. The proposed design method does not require any a priori knowledge of the signs of the unknown control coefficient. A leakage term based on σ-modification is adopted to prevent the parameter drifts in the adaptive law. By means of Lyapunov function and related lemmas, it is proved that the designed adaptive robust nonlinear controller can guarantee the stability and the global uniform ultimate boundedness of all signals of the resulting closed-loop system. The prescribed control performances of the system can be guaranteed by an appropriate choice of the design parameters. Simulation studies illustrate the feasibility and effectiveness of the presented approach.
  • Keywords
    Lyapunov methods; adaptive control; feedback; nonlinear control systems; robust control; Lyapunov function; Nussbaum function gain; adaptive backstepping; adaptive robust control; adaptive robust nonlinear controller; closed loop system; nonlinear strict feedback system; nonlinear system; stability; unknown bounded disturbance; unknown control coefficient; Adaptive systems; Artificial neural networks; Backstepping; Control systems; Nonlinear systems; Robust control; Robustness; Adaptive Robust Control; Backstepping; Nssbaum Gain; Strict-feedback Nonlinear Systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5572635