• DocumentCode
    2829132
  • Title

    Frequency domain conditions via Linear Matrix Inequalities

  • Author

    Graham, M.R. ; de Oliveira, M.C. ; de Callafon, R.A.

  • Author_Institution
    Univ. of California San Diego, La Jolla
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    5672
  • Lastpage
    5677
  • Abstract
    This paper revisits a pair of linear matrix inequalities (LMIs) that are related to checking a frequency domain inequality (FDI) over a finite interval. The first contribution is to show that the proposed pair of LMIs contain the original formulation of the Kalman-Yakubovich-Popov Lemma when the coefficient matrix is constant. The coefficient matrix can be made affine on the frequency variable at no extra computational cost. The second contribution is to show how to transform the frequency variable in order to extend the proposed results to infinite frequency intervals. In applications such as robustness analysis, allowing for frequency dependent coefficient matrices can be significant in reducing conservatism, a feature which is illustrated with a simple numerical example.
  • Keywords
    frequency-domain analysis; linear matrix inequalities; Kalman-Yakubovich-Popov Lemma; coefficient matrix; frequency domain inequality; linear matrix inequalities; robustness analysis; Computational efficiency; Control theory; Fault detection; Frequency dependence; Frequency domain analysis; Linear matrix inequalities; NASA; Performance analysis; Robustness; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434854
  • Filename
    4434854