Publication detail
THE INFLUENCE OF REINFORCEMENT FUNCTION DEFINITION ON PROPERTIES OF Q-LEARNING BASED CONTROLLER FOR ACTIVE MAGNETIC BEARING
BŘEZINA, T. KREJSA, J.
English title
THE INFLUENCE OF REINFORCEMENT FUNCTION DEFINITION ON PROPERTIES OF Q-LEARNING BASED CONTROLLER FOR ACTIVE MAGNETIC BEARING
Type
conference paper
Language
en
Original abstract
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.
English abstract
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.
Keywords in English
Control, Q-learning, Active Magnetic Bearing
RIV year
2003
Released
18.06.2003
Publisher
Alexander Dubček University of Trenčín, Faculty of Mechatronics, Trenčín, SLOVAKIA
Location
Trenčín, SK
ISBN
80-88914-92-2
Book
Proceedings of 6th international symposium on Mechatronics
Edition number
1
Pages count
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"
}