• DocumentCode
    736522
  • Title

    The filter design based on multiple characteristic functions in nonlinear systems

  • Author

    Xingshuo, Cheng ; Chenglin, Wen

  • Author_Institution
    Institute of Systems Science and Control Engineering, School of Automation, Hangzhou Dianzi University, Hangzhou 310018, P.R. China
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    4818
  • Lastpage
    4822
  • Abstract
    The filter design for non-Gaussian systems has received considerable attention recently. However, it is difficult to do this because of its high computational complexity. For non-Gaussian systems, many filter design methods have been proposed based on Multiple characteristic functions. Unfortunately, these methods cannot be extended to the system that state is nonlinear. In this paper, we propose a filter design method for this system. The key of the proposed method is to linearize the state equation of the systems. Then we use the idea of filter based on characteristic functions. Finally, simulation results are presented to illustrate the effectiveness of the proposed method.
  • Keywords
    Estimation error; Kalman filters; Mathematical model; Noise; Nonlinear systems; Probability density function; Target tracking; Characteristic Function; Nominal Trajectory; Non-Gaussian Systems; Nonlinear State Function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7260385
  • Filename
    7260385