• DocumentCode
    964610
  • Title

    Nonlinear system modeling based on the Wiener theory

  • Author

    Schetzen, Martin

  • Author_Institution
    Northeastern University, Boston, MA
  • Volume
    69
  • Issue
    12
  • fYear
    1981
  • Firstpage
    1557
  • Lastpage
    1573
  • Abstract
    This paper is a tutorial of nonlinear system modeling methods which are based on the Wiener theory of nonlinear systems. The basic concepts that underlie the Wiener theory are discussed and illustrated. Various modeling methods are presented by which a non-linear system can be modeled using either white Gaussian, nonwhite Gaussian, or certain non-Gaussian inputs. The experimental error in determining the Wiener model is discussed in terms of a new concept called measurement stability. Since attempts are being made to apply these modeling methods to diverse areas of study, this paper is written to be comprehensible by nonspecialists in system theory
  • Keywords
    Biological system modeling; Biological systems; Control system analysis; Equations; Kernel; Linear systems; Man machine systems; Nonlinear systems; Stability; System identification;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/PROC.1981.12201
  • Filename
    1456469