TY - GEN
A1 - Greblicki, Włodzimierz
A2 - Triggiani, Roberto- ed.
A2 - Maksimov, Vyacheslav I. - ed.
PB - Zielona Góra: Uniwersytet Zielonogórski
N2 - 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.
N2 - 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.
L1 - http://zbc.uz.zgora.pl/Content/58799/AMCS_2001_11_4_12.pdf
L2 - http://zbc.uz.zgora.pl/Content/58799
KW - Wiener system
KW - system identification
KW - recursive identification
KW - nonparametric identification
T1 - Recursive identification of Wiener systems
UR - http://zbc.uz.zgora.pl/dlibra/docmetadata?id=58799
ER -