Detail publikace

Stanovení optimálního rastru Q-funkce pro řízení asynchronního elektromotoru

MARADA, T., BŘEZINA, T., SINGULE, V.

Originální název

Stanovení optimálního rastru Q-funkce pro řízení asynchronního elektromotoru

Český název

Stanovení optimálního rastru Q-funkce pro řízení asynchronního elektromotoru

Typ

článek ve sborníku

Jazyk

cs

Originální abstrakt

Asynchronous electric motor control task can be successfully solved using reinforcement learning based method called Q-learning. The main problem to solve is the convergence speed. Two-phase Q-learning can be used to speed up the learning process. Efficient prelearning phase uses mathematical model and next phase using for tutorage real system. This method can increase learning speed significantly. When the table is used as Q-function approximation, the learning speed and precision of found controllers depend highly on the Q-function table grid properties. The paper is focused on finding the optimal division of grid.

Český abstrakt

Asynchronous electric motor control task can be successfully solved using reinforcement learning based method called Q-learning. The main problem to solve is the convergence speed. Two-phase Q-learning can be used to speed up the learning process. Efficient prelearning phase uses mathematical model and next phase using for tutorage real system. This method can increase learning speed significantly. When the table is used as Q-function approximation, the learning speed and precision of found controllers depend highly on the Q-function table grid properties. The paper is focused on finding the optimal division of grid.

Rok RIV

2004

Vydáno

24.05.2004

Nakladatel

Slovak University of Technology Bratislava, Faculty of Mechanical Engineering CA MECHATRONICS

Místo

Bratislav, SK

ISBN

80-227-2064-X

Kniha

Proceedings of the 7th International Symposium "Topical Questions of Teaching Mechatronics"

Strany od

71

Strany do

75

Strany počet

5

BibTex


@inproceedings{BUT12316,
  author="Tomáš {Marada} and Tomáš {Březina} and Vladislav {Singule}",
  title="Stanovení optimálního rastru Q-funkce pro řízení asynchronního elektromotoru",
  annote="Asynchronous electric motor control task can be successfully solved using
reinforcement learning based method called Q-learning. The main problem to solve is the
convergence speed. Two-phase Q-learning can be used to speed up the learning process.
Efficient prelearning phase uses mathematical model and next phase using for tutorage real
system. This method can increase learning speed significantly. When the table is used as
Q-function approximation, the learning speed and precision of found controllers depend
highly on the Q-function table grid properties. The paper is focused on finding the optimal
division of grid.",
  address="Slovak University of Technology Bratislava, Faculty of Mechanical Engineering CA MECHATRONICS",
  booktitle="Proceedings of the 7th International Symposium "Topical Questions of Teaching Mechatronics"",
  chapter="12316",
  institution="Slovak University of Technology Bratislava, Faculty of Mechanical Engineering CA MECHATRONICS",
  journal="Nezařazené články",
  year="2004",
  month="may",
  pages="71",
  publisher="Slovak University of Technology Bratislava, Faculty of Mechanical Engineering CA MECHATRONICS",
  type="conference paper"
}