Evolutionary Algorithms and Reinforcement Learning in Experiments with Slot Cars

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00200812" target="_blank" >RIV/68407700:21230/13:00200812 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/PC.2013.6581401" target="_blank" >http://dx.doi.org/10.1109/PC.2013.6581401</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PC.2013.6581401" target="_blank" >10.1109/PC.2013.6581401</a>

Result language
angličtina
Original language name
Evolutionary Algorithms and Reinforcement Learning in Experiments with Slot Cars
Original language description
Some control systems are difficult or impossible to be tuned by other means than automatically. We present here examples of optimization of the parameters of a PID controller regulating velocity of a slot car to the given set point using evolutionary optimization and reinforcement learning. These methods are implemented on the micro-controller of the slot car. Experimental results and comparison are provided.
Czech name
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Czech description
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Project
<a href="/en/project/GAP103%2F12%2F1794" target="_blank" >GAP103/12/1794: Advanced methods for complex systems analysis and control.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2013 International Conference on Process Control
ISBN
978-1-4799-0927-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
159-162
Publisher name
IEEE
Place of publication
Piscataway
Event location
Štrbské Pleso
Event date
Jun 18, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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