• DocumentCode
    3482442
  • Title

    Centralized H∞ Fusion Filter Design in Multi-sensor Nonlinear Fusion System

  • Author

    Li, Qinghua ; Wang, Hongjun ; Du, Jun ; Liu, Xuezhen ; Lin, Fei

  • fYear
    2008
  • fDate
    21-24 Sept. 2008
  • Firstpage
    608
  • Lastpage
    612
  • Abstract
    Centralized nonlinear fusion filter design problem is to construct an asymptotically stable observer that leads to a stable estimation error process whose L2 gain with respect to disturbance signal is less than a prescribed level for state estimation of the multi-sensor fusion system. This paper tries to resolve the problem in using of Hinfin filtering theory and LMI methods under certain conditions. Finally, a simulation example is given to illustrate the effectiveness of our methods.
  • Keywords
    Hinfin control; filtering theory; linear matrix inequalities; observers; sensor fusion; LMI methods; asymptotically stable observer; centralized Hinfin fusion filter design; multisensor nonlinear fusion system; Estimation error; Filtering theory; Information filtering; Information filters; Nonlinear filters; Performance analysis; Signal design; State estimation; Stochastic systems; Uncertain systems; H∞filtering; LMI; nonlinear fusion system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Automation and Mechatronics, 2008 IEEE Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-1675-2
  • Electronic_ISBN
    978-1-4244-1676-9
  • Type

    conf

  • DOI
    10.1109/RAMECH.2008.4681338
  • Filename
    4681338