• DocumentCode
    2190602
  • Title

    Robust filtering for uncertain nonlinearly parameterized plants

  • Author

    Tuan, H.D. ; Apkarian, P. ; Nguyen, T.Q.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toyota Technol. Inst., Nagoya, Japan
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2568
  • Abstract
    The paper addresses the robust filtering problem for systems assuming a nonlinear dependence in the uncertain parameter. This problem is among the most challenging problems in IIR filter design. Our solution methods are based on new linear matrix inequality characterizations of H2 and H∞ performances, which together with newly developed linearization transformations give flexible and computationally tractable formulations for the considered problems
  • Keywords
    FIR filters; H∞ control; robust control; H∞ performances; H2 performances; IIR filter design; linear matrix inequality characterizations; robust filtering; uncertain nonlinearly parameterized plants; Data engineering; Ear; Filtering; IIR filters; Linear matrix inequalities; Lyapunov method; Robustness; State estimation; Uncertain systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-7061-9
  • Type

    conf

  • DOI
    10.1109/.2001.980651
  • Filename
    980651
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2190602