Detail publikačního výsledku

Identification in Adaptive Control, Neural Network for Linear Model Parameter Estimation

VAŇKOVÁ, M.

Originální název

Identification in Adaptive Control, Neural Network for Linear Model Parameter Estimation

Anglický název

Identification in Adaptive Control, Neural Network for Linear Model Parameter Estimation

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova v angličtině

neural network, identification, adaptive control

Autoři

VAŇKOVÁ, M.

Vydáno

01.01.2006

Nakladatel

VUT v Brně, Fakulta elektrotechniky a komunikačních technologií a Fakulta informačních technologií

Místo

Brno

ISBN

80-214-3162-8

Kniha

Proceedings of the 12th Conference STUDENT EEICT 2006

Strany od

17

Strany počet

5

BibTex

@inproceedings{BUT18316,
  author="Markéta {Šulová}",
  title="Identification in Adaptive Control, Neural Network for Linear Model Parameter Estimation",
  booktitle="Proceedings of the 12th Conference STUDENT EEICT 2006",
  year="2006",
  pages="5",
  publisher="VUT v Brně, Fakulta elektrotechniky a komunikačních technologií a Fakulta informačních technologií",
  address="Brno",
  isbn="80-214-3162-8"
}