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2001 | 11 | 4 | 977-991
Tytuł artykułu

Recursive identification of Wiener systems

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A Wiener system, i.e. a cascade system consisting of a linear dynamic subsystem and a nonlinear memoryless subsystem is identified. The a priori information is nonparametric, i.e. neither the functional form of the nonlinear characteristic nor the order of the dynamic part are known. Both the input signal and the disturbance are Gaussian white random processes. Recursive algorithms to estimate the nonlinear characteristic are proposed and their convergence is shown. Results of numerical simulation are also given. A known algorithm recovering the impulse response of the dynamic part is presented in a recursive form.
Rocznik
Tom
11
Numer
4
Strony
977-991
Opis fizyczny
Daty
wydano
2001
otrzymano
2001-02-16
poprawiono
2001-08-07
Twórcy
  • Institute of Engineering Cybernetics, Wrocław University of Technology, Wybrzeże S. Wyspiańskiego 27, 50-370 Wrocław, Poland,
Bibliografia
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  • Wigren T. (1993): Recursive prediction error identification using the nonlinear Wiener model. — Automatica, Vol.29, pp.1011–1025.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv11i4p977bwm
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