• DocumentCode
    702204
  • Title

    Parameter estimation of railway vehicle dynamic model using rao-blackwellised particle filter

  • Author

    Li, Ping ; Goodall, Roger ; Kadirkamanathan, Visakan

  • Author_Institution
    Department of Electronic and Electrical Engineering, Loughborough University, UK
  • fYear
    2003
  • fDate
    1-4 Sept. 2003
  • Firstpage
    2384
  • Lastpage
    2389
  • Abstract
    This paper presents the development of a new method for parameter estimation in linear state space model. The proposed method is based on a Rao-Blackwellised particle filter. The simulation results with a railway vehicle dynamic model are provided which demonstrate the effectiveness of the proposed method in comparison with the conventional EKF-based method.
  • Keywords
    Estimation; Mathematical model; Parameter estimation; Particle filters; Rail transportation; Vehicle dynamics; Vehicles; Extended Kalman filter; Parameter estimation; Particle filter; Vehicle dynamic model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Control Conference (ECC), 2003
  • Conference_Location
    Cambridge, UK
  • Print_ISBN
    978-3-9524173-7-9
  • Type

    conf

  • Filename
    7085323
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=702204