• DocumentCode
    489771
  • Title

    Distributed Filtering Using Set Models With Confidence Values

  • Author

    Hong, Lang

  • Author_Institution
    Department of Electrical Engineering, Wright State University, Dayton, OH 45435
  • fYear
    1992
  • fDate
    24-26 June 1992
  • Firstpage
    2129
  • Lastpage
    2133
  • Abstract
    This paper describes an algorithm of distributed filtering using set models with confidence values. No statistics of noise distribution are needed. The only information required is the sets with confidence values from which the modeling and measurement errors and the initial values are obtained. Therefore, the algorithm has great potential for real-world applications.
  • Keywords
    Distributed algorithms; Filtering algorithms; Gaussian processes; Kalman filters; Smoothing methods; Statistical distributions; Statistics; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1992
  • Conference_Location
    Chicago, IL, USA
  • Print_ISBN
    0-7803-0210-9
  • Type

    conf

  • Filename
    4792507
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=489771