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MARADA, T., BŘEZINA, T., SINGULE, V.
Originální název
Determination of Q-function optimum grid applied on asynchronous electric motor control task
Anglický název
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
čeština
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.
Klíčová slova
Asynchronous electric motor, Q-learning, control
Autoři
Rok RIV
2004
Vydáno
10. 5. 2004
Nakladatel
Institute of Thermomechanics, Academy of Sciences of the Czec Republic
Místo
Svratka
ISBN
80-85918-88-9
Kniha
Enigneering Mechanics 2004, National Conference with International Participation
Strany od
177
Strany do
178
Strany počet
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", booktitle="Enigneering Mechanics 2004, National Conference with International Participation", year="2004", pages="2", publisher="Institute of Thermomechanics, Academy of Sciences of the Czec Republic", address="Svratka", isbn="80-85918-88-9" }