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

článek ve sborníku ve WoS nebo 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.

Anglický 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

Rok RIV

2003

Vydáno

18.06.2003

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

Číslo edice

1

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",
  month="June",
  publisher="Alexander Dubček University of Trenčín, Faculty of Mechatronics, Trenčín, SLOVAKIA",
  address="Trenčín, SK",
  isbn="80-88914-92-2"
}