• DocumentCode
    3786686
  • Title

    Nonlinearity recovering in Wiener system driven with correlated signal

  • Author

    W. Greblicki

  • Author_Institution
    Inst. of Eng. Cybern., Wroclaw Univ. of Technol., Poland
  • Volume
    49
  • Issue
    10
  • fYear
    2004
  • Firstpage
    1805
  • Lastpage
    1812
  • Abstract
    The characteristic of the nonlinear part of the Wiener system is estimated. The system is driven by a Gaussian random process which may not be white. Three algorithms are presented, two semirecursive and one of the offline type. Their pointwise convergence in probability is shown and results of numerical simulation are given.
  • Keywords
    "Nonlinear dynamical systems","Random processes","Numerical simulation","Kernel","Signal processing","Convergence of numerical methods","System identification","Polynomials","Cybernetics","Thickness measurement"
  • Journal_Title
    IEEE Transactions on Automatic Control
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2004.835581
  • Filename
    1341581