- Tytuł:
- Recursive Identification of Wiener Systems
- Autorzy:
- Greblicki, W.
- Powiązania:
- https://bibliotekanauki.pl/articles/908066.pdf
- Data publikacji:
- 2001
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
system Wienera
metoda nieparametryczna
Wiener system
system identification
recursive identification
nonparametric identification - Opis:
- 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.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2001, 11, 4; 977-991
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł