TY - GEN
A1 - Śliwiński, Przemysław
A1 - Hasiewicz, Zygmunt
A1 - Wachel, Paweł
A2 - Korbicz, Józef - red.
A2 - Uciński, Dariusz - red.
PB - Zielona Góra: Uniwersytet Zielonogórski
N2 - A simple semi-recursive routine for nonlinearity recovery in Hammerstein systems is proposed. The identification scheme is based on the Haar wavelet kernel and possesses a simple and compact form. The convergence of the algorithm is established and the asymptotic rate of convergence (independent of the input density smoothness) is shown for piecewise-Lipschitz nonlinearities. The numerical stability of the algorithm is verified. Simulation experiments for a small and moderate number of input-output data are presented and discussed to illustrate the applicability of the routine.
L1 - http://www.zbc.uz.zgora.pl/Content/78864/AMCS_2013_23_3_3.pdf
L2 - http://www.zbc.uz.zgora.pl/Content/78864
KW - Hammerstein systems
KW - non-parametric recursive identification
KW - Haar orthogonal expansion
KW - convergence analysis
KW - numerical stability
T1 - A simple scheme for semi-recursive identification of Hammerstein system nonlinearity by Haar wavelets
UR - http://www.zbc.uz.zgora.pl/dlibra/docmetadata?id=78864
ER -