THE EFFECT OF SELECTED VARIABLES ON Q-LEARNING DURINNG THE CONTROL OF ASYNCHRONOUS ELECTRIC MOTOR

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F05%3APU52011" target="_blank" >RIV/00216305:26210/05:PU52011 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Jazyk výsledku
čeština
Název v původním jazyce
THE EFFECT OF SELECTED VARIABLES ON Q-LEARNING DURINNG THE CONTROL OF ASYNCHRONOUS ELECTRIC MOTOR
Popis výsledku v původním jazyce
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. The paper is focused on presentation of random error effect of system variable observation, delay of interrference action and response on jump torque onto convergence speed.
Název v anglickém jazyce
THE EFFECT OF SELECTED VARIABLES ON Q-LEARNING DURINNG THE CONTROL OF ASYNCHRONOUS ELECTRIC MOTOR
Popis výsledku anglicky
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. The paper is focused on presentation of random error effect of system variable observation, delay of interrference action and response on jump torque onto convergence speed.

Rok uplatnění
2005
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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