Relay feedback identification using guiding evolutionary algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F20%3A00345840" target="_blank" >RIV/68407700:21220/20:00345840 - 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
Relay feedback identification using guiding evolutionary algorithm
Original language description
The Guiding Evolutionary Algorithm (GEA) was proposed by Cao, Xu and Goodman in 2016. The original algorithm was designed to apply the advantages of the previously published Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and the Bat Algorithm (BA). As part of this work, the effectiveness of the GEA algorithm in solving multi-modal optimization problems is analyzed and the results are compared to those obtained using PSO and BA. Once the algorithm is verified and accepted, the same is then applied to a System Identification task using a relay-based feedback method and finally, upon successful identification of a dynamic system, the system is controlled using a PID controller. The work investigates a non-linear approach to identification of dynamic systems using simple Second Order Plus Time-Delay Models (SOPTD).
Czech name
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Czech description
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Publication year
2020
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 2020
ISBN
978-80-01-06776-5
ISSN
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e-ISSN
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Number of pages
21
Pages from-to
3-23
Publisher name
ústav přístrojové a řídící techniky
Place of publication
Praha
Event location
Zámek Lobeč
Event date
Sep 14, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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