• DocumentCode
    2497991
  • Title

    N-step optimal time-invariant trajectory tracking control for a class of nonlinear systems

  • Author

    Song, Ruizhuo ; Zhang, Huaguang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2011
  • fDate
    11-15 April 2011
  • Firstpage
    184
  • Lastpage
    189
  • Abstract
    In this paper, the time-invariant trajectory tracking control problem under N-step control is solved by finite horizon approximate dynamic programming (ADP) algorithms. At first, we convert the tracking control problem for time-invariant trajectory into a output regulation problem. The cost function guarantees the energy is minimum. Secondly, the regulation control scheme is proposed using finite horizon ADP technique to obtain the N-step control. Then two theorems are used to prove the convergence of the proposed control algorithm. Finally, the simulation is given to demonstrate the effectiveness and feasibility of the control scheme.
  • Keywords
    approximation theory; dynamic programming; nonlinear control systems; optimal control; position control; regulation; tracking; N-step optimal time-invariant trajectory tracking control; finite horizon ADP technique; finite horizon approximate dynamic programming algorithms; nonlinear systems; output regulation problem; regulation control scheme; Convergence; Cost function; Dynamic programming; Mathematical model; Nonlinear systems; Optimal control; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Dynamic Programming And Reinforcement Learning (ADPRL), 2011 IEEE Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-9887-1
  • Type

    conf

  • DOI
    10.1109/ADPRL.2011.5967354
  • Filename
    5967354