Continuous Time Models Identification with Laguerre Functions

conference paper

English

The short introduction of existing methods based on the Least squares estimation with state variable filters for the identification of the continuous time models from sampled data will be given. The identification method with the use of the Simple and Generalized Laguerre function will be proposed and compared with the traditional Least squares based approach on the examples of continuous dynamical systems.

generalized Laguerre function, LTI system, identification, modeling

TŮMA, M.; JURA, P.

21. 7. 2017

American Institute of Physics

Rhodos

978-0-7354-1538-6

INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016)

0094-243X

AIP conference proceedings

United States of America

480011-1

480011-4

4