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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F04%3APU45572" target="_blank" >RIV/00216305:26210/04:PU45572 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

čeština

Original language name

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

Original language description

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 controllersdepend highly on the Q-function table grid properties. The paper is focused on finding the optimal division of grid.

Czech name

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

Czech description

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 controllersdepend highly on the Q-function table grid properties. The paper is focused on finding the optimal division of grid.

Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2004

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Enigneering Mechanics 2004, National Conference with International Participation

ISBN

80-85918-88-9

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

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Publisher name

Institute of Thermomechanics, Academy of Sciences of the Czec Republic

Place of publication

Svratka

Event location

Svratka

Event date

May 10, 2004

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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