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DETERMINATION OF Q-FUNCTION OPTIMUM GRID APPLIED ON ACTIVE MAGNETIC BEARING CONTROL TASK

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F03%3APU34259" target="_blank" >RIV/00216305:26210/03:PU34259 - isvavai.cz</a>

  • Alternative codes found

    RIV/61388998:_____/03:51030188

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    DETERMINATION OF Q-FUNCTION OPTIMUM GRID APPLIED ON ACTIVE MAGNETIC BEARING CONTROL TASK

  • Original language description

    Active magnetic bearing 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 [2]. Efficient prelearning phase uses mathematical model, following tutorage phase runs on real system and uses conventional Q-learning. This method can increase learning speed significantly, however there are still certain issues remaining to solve in order to impprove the overall performance of the controllers based on Q-learning. 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 denoted tothe determination of optimum grid with respect to the properties of controllers found by given method. Comparison of the results with performance of referential PID controller is included. Obtained results indicate that using nonlinear g

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA101%2F00%2F1471" target="_blank" >GA101/00/1471: Stability and control of rotors on magnetic bearings</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Mechtronics, Robotics and Biomechanics 2003

  • ISBN

    80-214-2312-9

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    55-56

  • Publisher name

    Institute of Mechanics of Solids Faculty of Mechanical Engineering Brno University of Technologi

  • Place of publication

    Brno

  • Event location

    Hrotovice

  • Event date

    Mar 24, 2003

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article