• DocumentCode
    2096948
  • Title

    Robust H∞ filtering for uncertain systems with sampled-data measurements

  • Author

    Shi, Peng ; de Souza, Carlos E. ; Xie, Lihua

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Newcastle Univ., NSW, Australia
  • fYear
    1993
  • fDate
    15-17 Dec 1993
  • Firstpage
    793
  • Abstract
    This paper investigates the problem of H∞ filtering for linear continuous-time systems subject to real time-varying parameter uncertainty and with sampled-data measurements. We address the design of linear filters that would guarantee a prescribed H∞ performance in the continuous-time context, irrespective of the parameter uncertainty and unknown initial states. The cases of both finite and infinite horizon filtering are considered
  • Keywords
    filtering and prediction theory; linear systems; sampled data systems; state estimation; time-varying systems; finite horizon filtering; infinite horizon filtering; initial state estimation; linear continuous time systems; linear filters; robust H∞ filtering; sampled data measurements; time varying parameter uncertainty; uncertain systems; Australia; Filtering; Infinite horizon; Nonlinear filters; Riccati equations; Robustness; State-space methods; Symmetric matrices; Time varying systems; Uncertain systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-1298-8
  • Type

    conf

  • DOI
    10.1109/CDC.1993.325040
  • Filename
    325040
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2096948