• DocumentCode
    3683067
  • Title

    Robust Adaptive Asymptotic Tracking of Nonlinear Systems in a Semi-strict Feedback Form

  • Author

    Baijun Tian; Zhengjiang Liu

  • Author_Institution
    Navig. Coll., Dalian Maritime Univ., Dalian, China
  • fYear
    2015
  • Firstpage
    233
  • Lastpage
    237
  • Abstract
    For a class of nonlinear systems in a semistrict feedback form with both parametric uncertainty and unknown nonlinearities, a new control design scheme based on backstepping approach is proposed. The Nussbaum gain technique is used as a robust control term to deal with unknown nonlinearities for the first time. This gives a continuous control, in contrast to those schemes using the sign function to obtain zero steady-state tracking error. It is shown that the proposed adaptive scheme can guarantee the global uniform boundedness of all signals and achieve asymptotic tracking property with the continuous control.
  • Keywords
    "Nonlinear systems","Robustness","Uncertainty","Backstepping","Adaptive control","Lyapunov methods"
  • Publisher
    ieee
  • Conference_Titel
    Frontier of Computer Science and Technology (FCST), 2015 Ninth International Conference on
  • Type

    conf

  • DOI
    10.1109/FCST.2015.26
  • Filename
    7314682