• DocumentCode
    300566
  • Title

    Reduced order H∞ filter design for discrete time-varying systems

  • Author

    Yu, Xianggang ; Hsu, Chin S.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    988
  • Abstract
    This paper addresses the reduced-order H∞ filter design for linear time varying discrete-time systems in which all measurements are not noise-free. The proposed filter has a generalized Luenberger observer structure and its order can be as low as n-p, where n and p are the order of signal systems and the number of measurements, respectively. Several bounded real lemmas are developed and they are the only tools used to establish the reduced-order filter design in this paper
  • Keywords
    H∞ optimisation; Riccati equations; discrete time systems; filtering theory; linear systems; observers; Luenberger observer structure; bounded real lemmas; discrete time-varying systems; linear systems; reduced order H∞ filter; Filtering theory; Information filtering; Information filters; Noise robustness; Nonlinear filters; Riccati equations; Signal design; State estimation; Time varying systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, Proceedings of the 1995
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2445-5
  • Type

    conf

  • DOI
    10.1109/ACC.1995.529398
  • Filename
    529398
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=300566