• DocumentCode
    2837355
  • Title

    Application research on data segment by Robust H∞ filter estimation

  • Author

    Wei, Wu ; Xiaoning, Ma ; Xinhe, Xu

  • Author_Institution
    Inst. of Motion Control Electr. Machine, Shenyang Univ. of Technol., Shenyang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    680
  • Lastpage
    683
  • Abstract
    In order to solve robots localization based on 2D map match, Robust Hinfin filtering estimation is presented for segmenting ultrasonic readings set. Kalman filter estimation is classical data segmentation approach. In general, there are some uncertain parameters at a sensor observe system, traditional algorithm cause some data can´t be segment, so robots will be lost. Robust Hinfin filter estimations enhances data segmentation accuracy and it lay a solid foundation for robot localization.
  • Keywords
    Hinfin control; Kalman filters; robots; robust control; data segment; robot localization; robust Hinfin filter estimation; ultrasonic readings set; Data mining; Information filtering; Information filters; Kalman filters; Matched filters; Robot kinematics; Robot localization; Robot sensing systems; Robustness; Sensor systems; Based on 2D map match; H∞ filter; data segment; kalman filter; robot localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5194837
  • Filename
    5194837
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2837355