Publication result detail

Process Identification In Self-Tuning Controllers

VAŇKOVÁ, M.

Original Title

Process Identification In Self-Tuning Controllers

English Title

Process Identification In Self-Tuning Controllers

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

This paper deals with problems connected with identification in adaptive control. Firstly, it examines the relation between the classical recursive identification algorithms and the new approach based on neural networks. Furthermore, it illustrates these identification algorithms and compares it with the practical example. And finally it mentioned the neural network usable for parameter estimation of the linear model.

English abstract

This paper deals with problems connected with identification in adaptive control. Firstly, it examines the relation between the classical recursive identification algorithms and the new approach based on neural networks. Furthermore, it illustrates these identification algorithms and compares it with the practical example. And finally it mentioned the neural network usable for parameter estimation of the linear model.

Key words in English

self-tuning controller, neural network, identification, parameter estimation

Authors

VAŇKOVÁ, M.

Released

01.01.2006

ISBN

1210-0471

Periodical

Transaction of the VŠB-Technical university of Ostrava, Mechanical series

Volume

52

Number

2

State

Czech Republic

Pages from

203

Pages count

6

URL

http://www.fs.vsb.cz/transactions/2006-2/

BibTex

@article{BUT43998,
  author="Markéta {Šulová}",
  title="Process Identification In Self-Tuning Controllers",
  journal="Transaction of the VŠB-Technical university of Ostrava, Mechanical series",
  year="2006",
  volume="52",
  number="2",
  pages="6",
  issn="1210-0471",
  url="http://www.fs.vsb.cz/transactions/2006-2/"
}