Recursive identification of Wiener systems

• Autorzy: Włodzimierz Greblicki
• 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.

Słowa kluczowe

EN

recursive identification; system identification; nonparametric identification; Wiener system

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2001
• Tom: 11
• Numer: 4
• Strony: 977-991

Daty

wydano

2001

otrzymano

2001-02-16

poprawiono

2001-08-07

Twórcy

autor

Włodzimierz Greblicki

• Institute of Engineering Cybernetics, Wrocław University of Technology, Wybrzeże S. Wyspiańskiego 27, 50-370 Wrocław, Poland,

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