• DocumentCode
    706577
  • Title

    IQC characterizations of signal classes

  • Author

    Jonsson, Ulf ; Megretski, Alexandre

  • Author_Institution
    Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    1999
  • fDate
    Aug. 31 1999-Sept. 3 1999
  • Firstpage
    1481
  • Lastpage
    1486
  • Abstract
    Worst case average performance analysis is considered in this paper. The disturbance in the system is assumed to belong to a “class of inputs signals”. A class of signals is here defined to be a set of families of signals, where each family satisfies an average spectral constraint. Exact characterizations in terms of integral quadratic constraints (IQC) are given for a class of white signals and a class of signals that are generated by autonomous linear systems. The IQCs are defined in terms of multipliers and important issues in numerical optimization of the multipliers are discussed in the paper.
  • Keywords
    signal processing; IQC characterizations; autonomous linear systems; average spectral constraint; integral quadratic constraints; signal classes; Bandwidth; Fourier transforms; Performance analysis; Robustness; Standards; Transfer functions; White noise; IQC; performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1999 European
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-3-9524173-5-5
  • Type

    conf

  • Filename
    7099521