An adaptive grid point RPEM algorithm for harmonic signal modeling

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 15, Issue 1, 2002, Pages 193-198

  Abd Elrady, Emad ^a  

^a UPPSALA UNIVERSITY   (Sweden)

Author keywords

Frequency estimation; Identification algorithms; Nonlinear systems; Piecewise linear analysis; Prediction error methods

Indexed keywords

AUTOMATION; CRAMER-RAO BOUNDS; NONLINEAR SYSTEMS; PIECEWISE LINEAR TECHNIQUES;

CRAMER-RAO BOUND (CRB); DRIVING FREQUENCIES; HARMONIC SIGNAL MODEL; IDENTIFICATION ALGORITHMS; PIECE-WISE LINEAR FUNCTIONS; PIECEWISE LINEAR; PREDICTION ERROR METHOD; RECURSIVE GAUSS NEWTONS;

FREQUENCY ESTIMATION;

EID: 27644448803     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.01018     Document Type: Conference Paper

References (9)

1. Abd-Elrady, E. (2000). Convergence of the RPEM as applied to harmonic signal modeling. Technical Report 2000-027. Information Technology, Uppsala University, Uppsala, Sweden.
2. Abd-Elrady, E. (2001a). An adaptive grid point algorithm for harmonic signal modeling. Technical Report 2001-018. Information Technology, Uppsala University, Uppsala, Sweden.
3. Abd-Elrady, E. (2001b). Study of a nonlinear recursive method for harmonic signal modeling. In: The Twentieth IASTED International Conference on Modeling, Identification and Control. Innsbruck, Austria.
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8. Wigren, T. (1993). Recursive prediction error identification using the nonlinear Wiener model. Automatica 29, 1011-1025.
9. Wigren, T. and P. Händel (1996). Harmonic signal modeling using adaptive nonlinear function estimation. In: IEEE International Conference on Acoustics, Speech and Signal Processing. Atlanta, GA.