• DocumentCode
    3622244
  • Title

    Reduction of Sensory Inaccuracy in Nonlinear Systems using Particle Filters

  • Author

    Bayram; Ertuzun; Bozma

  • Author_Institution
    Akilli Sistemler Laboratuvari, Sistem ve Kontrol Mü
  • fYear
    2006
  • fDate
    6/28/1905 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In signal processing and control applications, on-line state estimation plays important role in stability of the system. In cases where state and/or measurement functions are highly nonlinear and/or the noise is not Gaussian, conventional filters such as extended Kalman filters do not provide satisfactory results. In this paper, particle filters and its application to a nonlinear problem are examined
  • Keywords
    "Nonlinear systems","Particle filters","Gaussian processes","Kalman filters","Monte Carlo methods","Signal processing","Process control","Control systems","State estimation","Stability"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2006 IEEE 14th
  • ISSN
    2165-0608
  • Print_ISBN
    1-4244-0238-7
  • Type

    conf

  • DOI
    10.1109/SIU.2006.1659715
  • Filename
    1659715
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3622244