Publication detail

Determination of Q-function optimum grid applied on asynchronous electric motor control task

MARADA, T. BŘEZINA, T. SINGULE, V.

Czech title

Determination of Q-function optimum grid applied on asynchronous electric motor control task

English title

Determination of Q-function optimum grid applied on asynchronous electric motor control task

Type

conference paper

Language

cs

Original abstract

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.

Czech abstract

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.

English abstract

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.

Keywords in Czech

Asynchronní elektromotor, Q-učení, řízení

Keywords in English

Asynchronous electric motor, Q-learning, control

RIV year

2004

Released

10.05.2004

Publisher

Institute of Thermomechanics, Academy of Sciences of the Czec Republic

Location

Svratka

ISBN

80-85918-88-9

Book

Enigneering Mechanics 2004, National Conference with International Participation

Journal

Nezařazené články

Pages count

2

BIBTEX


@inproceedings{BUT12317,
  author="Tomáš {Marada} and Tomáš {Březina} and Vladislav {Singule},
  title="Determination of Q-function optimum grid applied on asynchronous electric motor control task",
  journal="Nezařazené články",
  booktitle="Enigneering Mechanics 2004, National Conference with International Participation",
  year="2004",
  month="May",
  publisher="Institute of Thermomechanics, Academy of Sciences of the Czec Republic",
  address="Svratka",
  isbn="80-85918-88-9"
}