• DocumentCode
    238342
  • Title

    Real-time algorithm for nonlinear systems with incomplete state information using finite-horizon optimal control technique

  • Author

    Khamis, A. ; Subbaram Naidu, D.

  • Author_Institution
    Dept. of Electr. Eng., Idaho State Univ., Pocatello, ID, USA
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper discusses a novel efficient real-time technique used for finite-horizon nonlinear regulator problems with incomplete state information. This technique based on integrating the Kalman filter algorithm and the finite-horizon differential State Dependent Riccati Equation (SDRE) technique. In this technique, the optimal control problem of the nonlinear system is solved by using finite-horizon differential SDRE algorithm, which makes this technique effective for a wide range of operating points. A nonlinear mechanical crane is given to show the effectiveness of the proposed technique.
  • Keywords
    Kalman filters; Lyapunov methods; Riccati equations; nonlinear control systems; optimal control; stochastic systems; Kalman filter algorithm; SDRE technique; finite-horizon differential state dependent Riccati equation; finite-horizon nonlinear regulator; finite-horizon optimal control technique; incomplete state information; nonlinear mechanical crane; nonlinear systems; Cranes; Equations; Kalman filters; Mathematical model; Noise; Nonlinear systems; Optimal control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Resilient Control Systems (ISRCS), 2014 7th International Symposium on
  • Conference_Location
    Denver, CO
  • Type

    conf

  • DOI
    10.1109/ISRCS.2014.6900094
  • Filename
    6900094