Reinforcement learning model: control of nonlinear and unstable processes

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F01%3APU23020" target="_blank" >RIV/00216305:26210/01:PU23020 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Reinforcement learning model: control of nonlinear and unstable processes
Original language description
Some experiences with using of the reinforcement learning model at control of nonlinear unstable processes are published in this paper. Control process is characterized by extensive depth in such cases, so the learning is computationally very demanding.We propose both using of nonlinear grid of the Q-function approximation table and also using of the learning conception ?by expert observation?. Learning off (optimal) control policy is not based on blind searching a state space, but it is in progress wiith the help of further component, that is able to control the process. Problems are studied on active magnetic bearing one-mass model.
Czech name
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Czech description
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Project
<a href="/en/project/GA101%2F00%2F1471" target="_blank" >GA101/00/1471: Stability and control of rotors on magnetic bearings</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Inženýrská Mechanika 2001
ISBN
80-85918-64-1
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
40-41
Publisher name
Institute of Termomechanics Academy of Sience of the Czech Republic, Prague 2001
Place of publication
Svratka
Event location
Svratka
Event date
May 14, 2001
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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