• DocumentCode
    2065121
  • Title

    Robust controller design by quadratic programming

  • Author

    Nurges, Ülo ; Rüstern, Ennu

  • Author_Institution
    Inst. of Cybern., Tallinn Tech. Univ., Estonia
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1060
  • Lastpage
    1064
  • Abstract
    The procedure of robust controller design by quadratic programming makes use of a stability measure defined as the minimal distance between a preselected stable simplex and vertices of an uncertain system characteristic polynomial. A constructive procedure for generating stable simplex in polynomial coefficient space is given starting from the unit hypercube of reflection coefficients of monic polynomials. This procedure is quite straightforward: an appropriate stable point has to be chosen and then the edges of the stable simplex are generated by reflection vectors of this polynomials
  • Keywords
    polynomials; quadratic programming; robust control; stability; monic polynomials; polynomial coefficient space; preselected stable simplex; quadratic programming; robust controller design; stability measure; uncertain system characteristic polynomial; unit hypercube; Control systems; Optimal control; Polynomials; Quadratic programming; Reflection; Robust control; Robust stability; Robustness; Transfer functions; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on
  • Conference_Location
    Mexico City
  • Print_ISBN
    0-7803-6733-2
  • Type

    conf

  • DOI
    10.1109/CCA.2001.974011
  • Filename
    974011