• DocumentCode
    643063
  • Title

    Robust performance analysis: A review of techniques for dealing with infinite dimensional LMIs

  • Author

    Knoblach, Andreas ; Assanimoghaddam, Mehran ; Pfifer, Harald ; Saupe, Florian

  • Author_Institution
    German Aero Space Center (DLR), Inst. of Syst. Dynamics & Control, Wessling, Germany
  • fYear
    2013
  • fDate
    28-30 Aug. 2013
  • Firstpage
    972
  • Lastpage
    977
  • Abstract
    This paper compares three techniques for dealing with infinite dimensional linear matrix inequalities (LMIs) for robust performance analysis: the gridding based approximation, the polytopic relaxation and the linear fractional representation based relaxation. The latter draws on the Full Block S-Procedure with different types of multipliers. All three techniques are applied in two benchmark studies at the example of an aeroelastic system. The studies are backed up by results from the Robust Control Toolbox for Matlab.
  • Keywords
    linear matrix inequalities; matrix multiplication; robust control; Matlab; aeroelastic system; full block S-procedure; gridding based approximation; infinite dimensional LMIs; infinite dimensional linear matrix inequalities; linear fractional representation based relaxation; multipliers; polytopic relaxation; robust control toolbox; robust performance analysis; Approximation methods; Atmospheric modeling; Benchmark testing; Mathematical model; Performance analysis; Robustness; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2013 IEEE International Conference on
  • Conference_Location
    Hyderabad
  • ISSN
    1085-1992
  • Type

    conf

  • DOI
    10.1109/CCA.2013.6662877
  • Filename
    6662877