Global identification of nonlinear Hammerstein systems by recursive kernel approach

DOI10.1016/j.na.2005.02.077zbMath1224.93030OpenAlexW2091207064MaRDI QIDQ999904

Adam Krzyżak, Marian A. Partyka

Publication date: 4 February 2009

Published in: Nonlinear Analysis. Theory, Methods \& Applications. Series A: Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.na.2005.02.077

zbMATH Keywords

consistencyconvergence ratenonparametric identificationrecursive kernel algorithm

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10)

Cites Work

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• On the L 1 convergence of kernel estimators of regression functions with applications in discrimination
• Identification of discrete Hammerstein systems by the Fourier series regression estimate
• The rates of convergence of kernel regression estimates and classification rules
• Hammerstein system identification by non-parametric regression estimation

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