• DocumentCode
    2467638
  • Title

    Sensitivity analysis for control parameter determination for a nonlinear cable-mass system

  • Author

    Evans, Katie A.

  • Author_Institution
    Fac. of Math. & Stat., Louisiana Tech Univ., Ruston, LA, USA
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    4091
  • Lastpage
    4096
  • Abstract
    The minmax controller results from a differential game approach to solving the Hinfin control problem. As such, the minmax controller involves a design parameter, which gives a measure of robustness for the controller. There exists no explicit formula for determining the design parameter, and the optimal value must be determined experimentally. Instead of choosing the parameter value experimentally and suffering the computational expense, it would be more efficient if the design parameter could be determined by a prescribed formula based on a mathematically rigorous criterion. In this paper, the author employs continuous sensitivity equation methods to examine the sensitivity of the controlled state with respect to variation of the minmax control parameter, with the goal being to explore the possibility of determining an efficient assignment of the parameter that is mathematically justified. Numerical simulations are performed on a one-dimensional nonlinear cable-mass system, and the results are presented.
  • Keywords
    Hinfin control; differential games; minimax techniques; nonlinear control systems; sensitivity analysis; Hinfin control problem; continuous sensitivity equation methods; control parameter determination; differential game; minmax controller; one-dimensional nonlinear cable-mass system; sensitivity analysis; Control design; Control systems; Hilbert space; Minimax techniques; Nonlinear control systems; Nonlinear equations; Numerical simulation; Optimal control; Robust control; Sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5160244
  • Filename
    5160244