• DocumentCode
    3669264
  • Title

    H robust filter design for a class of nonlinear stochastic poisson jump systems

  • Author

    Bor-Sen Chen;Chien-Feng Wu

  • Author_Institution
    Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan 30013, R.O.C.
  • fYear
    2015
  • Firstpage
    1557
  • Lastpage
    1561
  • Abstract
    Since the nonlinear dynamic systems in engineering, economics and biology may suffer from both continuous Wiener process and discontinuous Poisson process, the robust filter design for a class of nonlinear stochastic Poisson jump systems with external disturbances is studied in this paper. At present, there exists no good filter design method to treat the discontinuous Poisson process filter problem. Based on Ito-Levy formula, a robust H filter design is proposed for nonlinear stochastic Poisson jump systems by solving a Hamilton-Jacobi inequality (HJI) for the robust filter design of nonlinear stochastic Poisson jump system. The optimal H robust filter design problem for the nonlinear stochastic Poisson jump system is also discussed in this study.
  • Keywords
    "Robustness","Stochastic processes","Stochastic systems","Noise","Asymptotic stability","Stability analysis","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2015 IEEE International Conference on
  • ISSN
    2161-8070
  • Electronic_ISBN
    2161-8089
  • Type

    conf

  • DOI
    10.1109/CoASE.2015.7294322
  • Filename
    7294322