Block-oriented identification of Hammerstein/Wiener-models using the RLS-algorithm

International Journal of Applied Electromagnetics and Mechanics

Volumn 25, Issue 1-4, 2007, Pages 529-535

  Kozek, Martin ^a   Hametner, Christoph ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Hammerstein and Wiener model; Nonlinear parameter estimation; Prediction intervals; Recursive identification

Indexed keywords

ALGORITHMS; LEAST SQUARES APPROXIMATIONS; PARAMETER ESTIMATION; PIECEWISE LINEAR TECHNIQUES; STATISTICAL METHODS; TRANSFER FUNCTIONS;

HAMMERSTEIN AND WIENER MODEL; OPTIMAL PARTITIONING; PREDICTION INTERVALS; RECURSIVE IDENTIFICATION;

MATHEMATICAL MODELS;

EID: 34249709002     PISSN: 13835416     EISSN: None     Source Type: Journal    
DOI: 10.3233/jae-2007-860     Document Type: Conference Paper

References (7)

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3. L. Ljung and T. Söderström, Theory and Practice of Recursive Identification, MIT Press, Cambridge, 1983.
4. E.-W. Bai, An optimal two-stage identification algorithm for hammerstein-wiener nonlinear systems, Automatica 34 (March 1998), 333-338.
5. T.H. Pelt and D.S. Bernstein, Nonlinear system identification using Hammerstein and non-linear feedback models with piecewise linear static maps - part 1: Theory, Proc. American Control Conference, 2000, Chicago, Illinois.
6. Ch. Hametner, Identifikation von Hummerstein und Wiener-Modellen mit dem RLS-AIgorithmus, Diploma-Thesis (in German), Vienna University of Technology, 2005.
7. A.E. Nordsjö and L.H. Zetterberg, Identification of certain time-varying nonlinear Wiener and Hammerstein systems, IEEE Transactions on Signal Processing 49(3) (2001), 577-592.