Identification of linear systems in the presence of nonlinear distortions. A frequency domain approach. I. Non-parametric identification

Author

Schoukens, Johan ; Dobrowiecki, T. ; Pintelon, R.

Author_Institution

Dept. ELEC, Vrije Univ., Brussels, Belgium

Volume

2

fYear

1995

fDate

13-15 Dec 1995

Firstpage

1216

Abstract

This paper concerns the asymptotic behaviour of nonparametric frequency-domain identification methods to model linear dynamic systems in the presence of nonlinear distortions, using random multisine excitations. The nonparametric behavior of the transfer function measurement is studied. A related dynamic system (RLDS) is defined and linked to the classical results where the system is excited with normally distributed noise

Keywords

frequency-domain analysis; identification; nonlinear systems; transfer functions; asymptotic behaviour; frequency-domain identification methods; linear dynamic systems; linear system identification; nonlinear distortions; nonparametric identification; normally distributed noise; random multisine excitations; transfer function measurement; Distortion measurement; Frequency domain analysis; Government; Instruments; Linear systems; Nonlinear distortion; Nonlinear dynamical systems; Parametric statistics; Testing; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1995., Proceedings of the 34th IEEE Conference on

Conference_Location

New Orleans, LA

ISSN

0191-2216

Print_ISBN

0-7803-2685-7

Type

conf

DOI

10.1109/CDC.1995.480263

Filename

480263