@misc{Śliwiński_Przemysław_A,
 author={Śliwiński, Przemysław and Hasiewicz, Zygmunt and Wachel, Paweł},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={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.},
 title={A simple scheme for semi-recursive identification of Hammerstein system nonlinearity by Haar wavelets},
 type={artykuł},
 keywords={Hammerstein systems, non-parametric recursive identification, Haar orthogonal expansion, convergence analysis, numerical stability},
}