• DocumentCode
    2653807
  • Title

    The Robust Model Predictive Control Design Problem

  • Author

    Joelianto, E. ; Simangunsong, R.I. ; Chaerani, D. ; Ling, K.V.

  • Author_Institution
    Dept. of Eng. Phys., Bandung Inst. of Technol., Bandung
  • fYear
    2009
  • fDate
    22-24 Jan. 2009
  • Firstpage
    546
  • Lastpage
    550
  • Abstract
    The paper considers the application of Robust Optimization (RO) technique to model predictive control (MPC). Robust Optimization has received considerable attention recently as a result of the well accepted and proven interior-point method. The robust optimization has been investigated and applied to various application areas. It is of interest to see the application of robust optimization method in control systems. The paper shows the robust optimization is directly applicable to MPC which relies on optimization as the workhorse to compute the control signal.
  • Keywords
    control system synthesis; optimisation; predictive control; robust control; control systems; interior-point method; robust model predictive control design problem; robust optimization; Optimal control; Optimization methods; Paper technology; Predictive control; Predictive models; Quadratic programming; Robust control; Robustness; Sampling methods; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control, 2009. ICACC '09. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-3330-8
  • Type

    conf

  • DOI
    10.1109/ICACC.2009.157
  • Filename
    4777402