Identification and control using GEA

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F21%3A00352671" target="_blank" >RIV/68407700:21220/21:00352671 - isvavai.cz</a>
Result on the web
<a href="http://iat.fs.cvut.cz/nmp/2021.pdf" target="_blank" >http://iat.fs.cvut.cz/nmp/2021.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Identification and control using GEA
Original language description
This article presents the Guiding Evolutionary Algorithm (GEA) for optimization and its application in parametric identification and control of several processes. The key advantage of using this optimization approach is that it can be used for identification of linear as well as non-linear systems. The algorithm has previously been applied successfully to optimizing a number of benchmark problems and the results were shown to be quite promising. This article applies the GEA optimization approach to the problem of identification and control of a dynamic system. The approach is verified experimentally on a physical setup and the feasibility of this approach is studied and evaluated for practical implementation.
Czech name
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Czech description
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Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Nové metody a postupy v oblasti přístrojové techniky, automatického řízení a informatiky 2021
ISBN
978-80-01-06889-2
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
60-69
Publisher name
Ústav přístrojové a řídicí techniky FS ČVUT
Place of publication
Praha
Event location
Žatec
Event date
Sep 15, 2021
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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