Publication detail

Continuous Time Models Identification with Laguerre Functions

TŮMA, M. JURA, P.

Original Title

Continuous Time Models Identification with Laguerre Functions

Type

conference paper

Language

English

Original Abstract

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.

Keywords

generalized Laguerre function, LTI system, identification, modeling

Authors

TŮMA, M.; JURA, P.

Released

21. 7. 2017

Publisher

American Institute of Physics

Location

Rhodos

ISBN

978-0-7354-1538-6

Book

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

ISBN

0094-243X

Periodical

AIP conference proceedings

State

United States of America

Pages from

480011-1

Pages to

480011-4

Pages count

4