• DocumentCode
    3847026
  • Title

    Nonparametric Input Density-Free Estimation of the Nonlinearity in Wiener Systems

  • Author

    Włodzimierz

  • Author_Institution
    Institute of Computer Engineering, Control, and Robotics, Wroclaw University of Technology, Wroclaw, Poland
  • Volume
    56
  • Issue
    7
  • fYear
    2010
  • fDate
    7/1/2010 12:00:00 AM
  • Firstpage
    3575
  • Lastpage
    3580
  • Abstract
    The nonlinear characteristic of a Wiener system is estimated under nonparametric a priori information. The probability density of the input signal is completely unknown and can be of any form. The estimate is asymptotically biased but its bias can be made arbitrarily small. Results of computer simulations are presented.
  • Keywords
    "Nonlinear dynamical systems","Kernel","Computer simulation","System identification","Polynomials","Nonlinear equations","Control engineering computing","Robot control","Random processes","Signal processing"
  • Journal_Title
    IEEE Transactions on Information Theory
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2048461
  • Filename
    5484973