Thermal Process Control Using Neural Model and Genetic Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F19%3A39915223" target="_blank" >RIV/00216275:25530/19:39915223 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-30329-7_35" target="_blank" >http://dx.doi.org/10.1007/978-3-030-30329-7_35</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-30329-7_35" target="_blank" >10.1007/978-3-030-30329-7_35</a>
Alternative languages
Result language
angličtina
Original language name
Thermal Process Control Using Neural Model and Genetic Algorithm
Original language description
Predictive Controller of a laboratory thermal process is presented in the paper. Process model is approximated by a neural network. On-line optimization is done by a genetic algorithm. Control algorithm is tested on the laboratory thermal process and compared to the standard control methods like predictive controller with the transfer and state-space linear model and the quadratic programming optimization method or a PI controller.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational statistics and mathematical modeling methods in intelligent systems : proceedings of 3rd computational methods in systems and software 2019, Vol. 2
ISBN
978-3-030-31361-6
ISSN
2194-5357
e-ISSN
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Number of pages
12
Pages from-to
393-403
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Zlín
Event date
Sep 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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