Detail publikace

Possibility of Using Neural Network Based Identification in Adaptive Controllers

VAŇKOVÁ, M.

Originální název

Possibility of Using Neural Network Based Identification in Adaptive Controllers

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with possibility of a neural network identification applicable in adaptive (self-tuning) controllers. The reason is a long sample time necessary for a proper function of the classical identification methods (recursive least square especially) that results improper behaviour of the whole control system. Typical neural networks used to process modelling and applicable in this adaptive control are introduced. Regular identification requirements are discussed. Properties and special cases of the various neural types are introduced. The most extended neural networks are compared in conclusion.

Klíčová slova v angličtině

adaptive controller, neural network, identification

Autoři

VAŇKOVÁ, M.

Rok RIV

2005

Vydáno

1. 1. 2005

Nakladatel

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

Místo

Brno

ISBN

80-214-2889-9

Kniha

Proceedings of the 11th Conference STUDENT EEICT 2005

Strany od

66

Strany do

70

Strany počet

5

BibTex

@inproceedings{BUT14574,
  author="Markéta {Šulová}",
  title="Possibility of Using Neural Network Based Identification in Adaptive Controllers",
  booktitle="Proceedings of the 11th Conference STUDENT EEICT 2005",
  year="2005",
  pages="5",
  publisher="VUT v Brně, Fakulta elektrotechniky a komunikačních technologií a Fakulta informačních technologií",
  address="Brno",
  isbn="80-214-2889-9"
}