Determination of Q-function optimum grid applied on active magnetic bearing control task

0212471 - UT-L 20030188 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Březina, Tomáš - Krejsa, Jiří
Determination of Q-function optimum grid applied on active magnetic bearing control task.
Proceedings of mechatronics, robotics and biomechanics 2003. Brno: VUT, 2003, s. 55-56. ISBN 80-214-2312-9.
[Mechatronics, robotics and biomechanics 2003. Hrotovice (CZ), 24.03.2003-27.03.2003]
Grant CEP: GA ČR GA101/00/1471
Výzkumný záměr: CEZ:AV0Z2076919
Klíčová slova: control * magnetic bearing
Kód oboru RIV: BC - Teorie a systémy řízení

AMB control task can be solved using reinforcement learning based method called Q learning. However there are certain issues remaining to solve, mainly the convergence speed. Two-phase Q learning can be used to speed up the learning process. When table is used as Q function approximation the learning speed and precision of found controllers depend highly on the Q function table grid. The paper is denoted to determination of optimum grid with respect to the properties of controllers found by given method.
Trvalý link: http://hdl.handle.net/11104/0108019