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

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
čeština
Original language name
THE EFFECT OF SELECTED VARIABLES ON Q-LEARNING DURINNG THE CONTROL OF ASYNCHRONOUS ELECTRIC MOTOR
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. 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.
Czech name
THE EFFECT OF SELECTED VARIABLES ON Q-LEARNING DURINNG THE CONTROL OF ASYNCHRONOUS ELECTRIC MOTOR
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. 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.

Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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