Detail publikačního výsledku

Neural Network Based Model Parameter Estimation in Self-Tuning Controllers

VAŇKOVÁ, M.

Originální název

Neural Network Based Model Parameter Estimation in Self-Tuning Controllers

Anglický název

Neural Network Based Model Parameter Estimation in Self-Tuning Controllers

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper deals with problems connected with identification in adaptive control. The classic recursive identification algorithms versus new approach based on neural networks are discussed. The identification algorithms are compared in practical example. The simplified neural network for linear model parameters estimation suitable for real process identification is introduced.

Anglický abstrakt

This paper deals with problems connected with identification in adaptive control. The classic recursive identification algorithms versus new approach based on neural networks are discussed. The identification algorithms are compared in practical example. The simplified neural network for linear model parameters estimation suitable for real process identification is introduced.

Klíčová slova v angličtině

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

Autoři

VAŇKOVÁ, M.

Vydáno

01.01.2006

Nakladatel

VŠB - Technická universita Ostrava

Místo

Ostrava

ISBN

80-248-1066-2

Kniha

Proceedings of 7th International Carpathian Control Conference

Strany od

593

Strany počet

4

BibTex

@inproceedings{BUT19111,
  author="Markéta {Šulová}",
  title="Neural Network Based Model Parameter Estimation in Self-Tuning Controllers",
  booktitle="Proceedings of 7th International Carpathian Control Conference",
  year="2006",
  pages="4",
  publisher="VŠB - Technická universita Ostrava",
  address="Ostrava",
  isbn="80-248-1066-2"
}