Publication detail

Dynamical System Identification with the Generalized Laguerre Functions

TŮMA, M. JURA, P.

Original Title

Dynamical System Identification with the Generalized Laguerre Functions

Type

conference paper

Language

English

Original Abstract

This paper discusses the use of the Generalized Laguerre functions (GLF) in the linear time-invariant (LTI) dynamical system identification task. A short introduction of the GLF functions is provided, and an algorithm to identify the LTI dynamical system with the Laplace images of the GLF is described. In the given context, the authors introduce examples of the approximation of the LTI dynamical system with the GLF and the Simple Laguerre functions (SLF) in MATLAB. The advantages of using the GLF over the SLF are shown. The order reduction problem in high order approximated models is discussed.

Keywords

generalized Laguerre function; LTI system; identification; modeling

Authors

TŮMA, M.; JURA, P.

RIV year

2015

Released

8. 10. 2015

ISBN

978-1-4673-9282-2

Book

2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops

Pages from

220

Pages to

225

Pages count

6

URL

https://ieeexplore.ieee.org/document/7382431

BibTex

@inproceedings{BUT117663,
  author="Martin {Tůma} and Pavel {Jura}",
  title="Dynamical System Identification with the Generalized Laguerre Functions",
  booktitle="2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops",
  year="2015",
  pages="220--225",
  doi="10.1109/ICUMT.2015.7382431",
  isbn="978-1-4673-9282-2",
  url="https://ieeexplore.ieee.org/document/7382431"
}