Nonlinear system identification by the Haar multiresolution analysis

DOI10.1109/81.721260zbMath0952.93021OpenAlexW2099799054WikidataQ118592583 ScholiaQ118592583MaRDI QIDQ4505148

Zygmunt Hasiewicz, Mirosław Pawlak

Publication date: 26 September 2000

Published in: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/7be9b9028fb07ba3c6deea9b856a24469b2b5ac3

zbMATH Keywords

identificationwaveletHaar multiresolution analysispointwise convergencenonparametric regressionnonparametric identificationinput-outputnonlinear systems of composite structurereconstruction of nonlinearities

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) System identification (93B30) Numerical methods for wavelets (65T60)

Related Items (14)

Non-linear system modelling based on non-parametric identification and linear wavelet estimation of SDP models ⋮ Recursive identification of continuous-time Hammerstein systems ⋮ Unnamed Item ⋮ Generalized Kernel Regression Estimate for the Identification of Hammerstein Systems ⋮ Identification of non-linear characteristics of a class of block-oriented non-linear systems via Daubechies wavelet-based models ⋮ Hammerstein system identification by non-parametric instrumental variables ⋮ A simple scheme for semi-recursive identification of Hammerstein system nonlinearity by Haar wavelets ⋮ Haar wavelet operational matrix of fractional order integration and its applications in solving the fractional order differential equations ⋮ On-line wavelet estimation of Hammerstein system nonlinearity ⋮ Solving a nonlinear fractional differential equation using Chebyshev wavelets ⋮ Neural network approach for identification of Hammerstein systems ⋮ Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis ⋮ Instrumental variables for nonlinearity recovering in block-oriented systems driven by correlated signals ⋮ Discussion on: ``Subspace-based identification algorithms for Hammerstein and Wiener models

Uses Software

• KernSmooth

This page was built for publication: Nonlinear system identification by the Haar multiresolution analysis