Title :
On the use of system identification for accurate parametric modelling of non-linear systems using noisy measurements
Author :
Vanderstsen, G. ; Rolain, Y. ; Schoukens, J. ; Pintelon, R.
Abstract :
This paper gives a survey of identification methods for static strongly non-linear systems and proposes a robust and efficient estimation algorithm. Besides the asymptotic properties of the different estimators, practical consideration for non-linear modelling are given. The properties of the discussed system identification methods are illustrated on the measured strongly non-linear DC-characteristic of a forward biased PIN-diode
Keywords :
Additive noise; Gaussian distribution; Least squares approximation; Least squares methods; Maximum likelihood estimation; Noise measurement; Parametric statistics; Polynomials; System identification; Vectors;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1995. IMTC/95. Proceedings. Integrating Intelligent Instrumentation and Control., IEEE
Conference_Location :
Waltham, MA, USA
Print_ISBN :
0-7803-2615-6
DOI :
10.1109/IMTC.1995.515411
