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Application of artificial neural networks to parameter estimation of dynamical systems

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1 Author(s)
Materka, A. ; Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia

Neural network (NN) based estimators of dynamical system parameters are introduced and compared to the least-squares-error estimators. Equations are derived to discuss the NN estimator existence and to express its covariance matrix. The results are illustrated using a numerical example of a 3-parameter system represented by multiexponential model

Published in:
Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE

Date of Conference: 10-12 May 1994

Page(s):
123 - 126 vol.1
Meeting Date :
10 May 1994-12 May 1994
Print ISBN:
0-7803-1880-3
INSPEC Accession Number:
4799745
Conference Location :
Hamamatsu
Digital Object Identifier :
10.1109/IMTC.1994.352109
Product Type:
Conference Publications

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