• DocumentCode
    2121934
  • Title

    Research on Fuzzy Adaptive H∞ Robust Filter for Integrated Navigation System

  • Author

    Jiang, Liu ; Jian, Wang ; Bai-gen, Cai

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    912
  • Lastpage
    916
  • Abstract
    This paper presents a novel integrated navigation algorithm based on the fuzzy adaptive Hinfin robust filter. By monitoring covariance between abstract and actual residual error, the definition of filtering performance factor is given. Based on the relationship between filtering performance factor, attenuation level and the parameter gamma in Hinfin robust filter, a fuzzy inference system is designed to choose gamma suitably and adaptively, so that there could be a balance between filtering accuracy and robustness performance accordingly. Analysis with practical train integrated navigation data validates the performance and practical value of the proposed algorithm.
  • Keywords
    Hinfin control; adaptive control; adaptive filters; fuzzy control; inference mechanisms; navigation; transportation; filtering performance factor; fuzzy adaptive H infinity robust filter; fuzzy inference system; integrated navigation algorithm; integrated navigation system; Adaptive filters; Algorithm design and analysis; Attenuation; Filtering; Fuzzy systems; Inference algorithms; Monitoring; Navigation; Performance analysis; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2111-4
  • Electronic_ISBN
    978-1-4244-2112-1
  • Type

    conf

  • DOI
    10.1109/ITSC.2008.4732653
  • Filename
    4732653