Detail publikačního výsledku

Continuous Time Models Identification with Laguerre Functions

TŮMA, M.; JURA, P.

Originální název

Continuous Time Models Identification with Laguerre Functions

Anglický název

Continuous Time Models Identification with Laguerre Functions

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

generalized Laguerre function, LTI system, identification, modeling

Klíčová slova v angličtině

generalized Laguerre function, LTI system, identification, modeling

Autoři

TŮMA, M.; JURA, P.

Rok RIV

2018

Vydáno

21.07.2017

Nakladatel

American Institute of Physics

Místo

Rhodos

ISBN

978-0-7354-1538-6

Kniha

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

ISSN

0094-243X

Periodikum

AIP conference proceedings

Stát

Spojené státy americké

Strany od

480011-1

Strany do

480011-4

Strany počet

4