Title :
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
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;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.480263
