DocumentCode :
948493
Title :
Parametric identification of nonlinear dynamic systems based on nonlinear crosscorrelation functions
Author :
Haber, R.
Author_Institution :
Technical University of Vienna, Institute of Machine & Process Control, Vienna, Austria
Volume :
135
Issue :
6
fYear :
1988
fDate :
11/1/1988 12:00:00 AM
Firstpage :
405
Lastpage :
420
Abstract :
The paper introduces the two-step identification method of least-squares parameter estimation based on correlation functions, for nonlinear dynamic systems with linear parameters. It deals with the identification of the input/ output parameter models working in open- and closed-loops. The relation between the structure of a model, the choice of multipliers and the necessaryshifting time domain are demonstrated. The effect of the noise to the estimation results are shown. The theoretical considerations are illustrated by digital and hybrid simulations and by the identification of a heat exchanger
Keywords :
correlation methods; least squares approximations; nonlinear control systems; parameter estimation; digital simulations; dynamic systems; heat exchanger; hybrid simulations; least squares approximations; least-squares parameter estimation; multipliers; nonlinear control systems; nonlinear crosscorrelation functions; parameter estimation; two-step identification method;
fLanguage :
English
Journal_Title :
Control Theory and Applications, IEE Proceedings D
Publisher :
iet
ISSN :
0143-7054
Type :
jour
DOI :
10.1049/ip-d.1988.0062
Filename :
4648574
Link To Document :
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