• DocumentCode
    307152
  • Title

    Filtering problem under unreliable sampling

  • Author

    Tanaka, Shunji ; Hagiwara, Tomomichi ; Araki, Mituhiko

  • Author_Institution
    Dept. of Electr. Eng., Kyoto Univ., Japan
  • Volume
    1
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    124
  • Abstract
    In this paper we study the filtering problem under the assumption that the sampling is unreliable; i.e., some of the measurement data are not obtained at some sampling instants. The minimum-variance estimator is derived and its stability is studied in connection with the degree of the unreliability of the sampling
  • Keywords
    filtering theory; signal sampling; statistical analysis; uncertain systems; filtering; minimum-variance estimator; unreliable sampling; Argon; Covariance matrix; Digital control; Electric variables measurement; Filtering; Filters; Loss measurement; Sampling methods; Stability; State estimation;
  • 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.1996.574270
  • Filename
    574270
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=307152