Detail publikace

THE INFLUENCE OF REINFORCEMENT FUNCTION DEFINITION ON PROPERTIES OF Q-LEARNING BASED CONTROLLER FOR ACTIVE MAGNETIC BEARING

BŘEZINA, T. KREJSA, J.

Anglický název

THE INFLUENCE OF REINFORCEMENT FUNCTION DEFINITION ON PROPERTIES OF Q-LEARNING BASED CONTROLLER FOR ACTIVE MAGNETIC BEARING

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

Originální abstrakt

Reinforcement learning (RL) based methods can be successfully used for control of non-stable systems such as active magnetic bearing (AMB). The paper shows the use of two phase Q-learning for such task, mainly with respect to the reinforcement function definition. Presented tests proved that Q-learning based controllers overpass referential PID controller.

Klíčová slova anglicky

Control, Q-learning, Active Magnetic Bearing

Vydáno

2003-06-18

Nakladatel

Alexander Dubček University of Trenčín, Faculty of Mechatronics, Trenčín, SLOVAKIA

Místo

Trenčín, SK

ISBN

80-88914-92-2

Kniha

Proceedings of 6th international symposium on Mechatronics

Strany od–do

62–

Počet stran

4

BIBTEX


@inproceedings{BUT7887,
  author="Tomáš {Březina} and Jiří {Krejsa}",
  title="THE INFLUENCE OF REINFORCEMENT FUNCTION DEFINITION ON PROPERTIES OF Q-LEARNING BASED CONTROLLER FOR ACTIVE MAGNETIC BEARING",
  booktitle="Proceedings of 6th international symposium on Mechatronics",
  year="2003",
  number="1",
  pages="4",
  publisher="Alexander Dubček University of Trenčín, Faculty of Mechatronics, Trenčín, SLOVAKIA",
  address="Trenčín, SK",
  isbn="80-88914-92-2"
}