• DocumentCode
    3253558
  • Title

    Structure and factorization of quadratic constraints for robustness analysis

  • Author

    Goh, Keat-Choon

  • Author_Institution
    Imperial Coll. of Sci., Technol. & Med., London, UK
  • Volume
    4
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    4649
  • Abstract
    This paper extends and generalizes the preliminary results of Goh and Safonov (1995), linking the integral quadratic constraint (IQC) approach for robust analysis to previous work on generalized sectors, dissipativity and J-spectral factorization/indefinite scalar products. The emphasis is on the factorization theory associated with the fact that IQCs for robust analysis must have a J-spectral factorization ∫ -∞z*S* (ω)diag(I,-I)S(ω)z dω. In particular, we prove the existence of bounded and invertible conic sector type factorizations of the IQC, and also of certain rank and Riccati equation type restrictions on LMI based IQC-analysis methods. The implications of our results for the robustness analysis of systems with structured uncertainty are also clarified
  • Keywords
    Riccati equations; absolute stability; graph theory; matrix decomposition; robust control; uncertain systems; IQC; J-spectral factorization; LMI; Riccati equation; conic sector type factorizations; dissipativity; factorization; generalized sectors; indefinite scalar products; integral quadratic constraint approach; linear matrix inequalities; quadratic constraints; robustness analysis; structured uncertainty; Ear; Frequency domain analysis; Integral equations; Joining processes; Riccati equations; Robust stability; Robustness; Stability analysis; Time factors; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
  • Conference_Location
    Kobe
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-3590-2
  • Type

    conf

  • DOI
    10.1109/CDC.1996.577607
  • Filename
    577607