A comparative study of a real system identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866798" target="_blank" >RIV/70883521:28140/11:43866798 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A comparative study of a real system identification
Original language description
This article compares two methods of identification of a real system. The first one is the classical Least squares method and the second one is a Neural network approach that uses the feedforward network with tree layers. The Levenberg-Marquardt was chosen as the learning algorithm. Laboratory equipment Amira DR300 was selected for the verification of both methods. It is a servo-mechanism which consists of a permanently excited DC-motor and a tacho-generator with the incremental encoder as a sensor of the output signal.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Annals of DAAAM for 2011 & Proceedings of the 22nd International DAAAM Symposium "Intelligent Manufacturing & Automation: Power of Knowledge and Creativity"
ISBN
978-3-901509-83-4
ISSN
1726-9679
e-ISSN
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Number of pages
2
Pages from-to
1333-1334
Publisher name
DAAAM International Vienna
Place of publication
Vienna
Event location
Vienna
Event date
Nov 23, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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