Using PSO method for System Identification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F14%3A00496627" target="_blank" >RIV/60162694:G43__/14:00496627 - isvavai.cz</a>
Result on the web
<a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-02294-9_19" target="_blank" >10.1007/978-3-319-02294-9_19</a>

Result language
angličtina
Original language name
Using PSO method for System Identification
Original language description
The article deals with application of heuristic method in system identification process. Real measured data can be used for system identification. Usually real data has noisy component. For this reason sometimes the filtering is applied to original data and the result is used for identification. In this article the comparison of usage the original and prefiltered data is discussed. For identification the Particle swarm optimization method is used. Different approaches are also used to create initial agents’ positions. Whole concept is tested using the MATLAB program.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Mechatronics 2013. Recent Technological and Scientific Advances
ISBN
978-3-319-02293-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
143-150
Publisher name
Springer
Place of publication
New York, USA
Event location
Brno
Event date
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Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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