Identification and control of nonlinear laboratory model Amira DR 300

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43871811" target="_blank" >RIV/70883521:28140/14:43871811 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28110/14:43871811
Result on the web
<a href="http://dx.doi.org/10.4028/www.scientific.net/AMM.611.284" target="_blank" >http://dx.doi.org/10.4028/www.scientific.net/AMM.611.284</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4028/www.scientific.net/AMM.611.284" target="_blank" >10.4028/www.scientific.net/AMM.611.284</a>

Result language
angličtina
Original language name
Identification and control of nonlinear laboratory model Amira DR 300
Original language description
This article deals with identification and a control design of nonlinear laboratory model Amira DR 300 in a real time. It mentions a mathematical description of the model, its static and dynamical characteristics. Using an experimental method of identification a model has been created, which is suitable for the purpose of simulation testing of non-adaptive as well as adaptive controllers. These were tested as simple adaptive, i.e. non-adaptive controllers, namely in both simulation ways and at a real model control. For the purpose of a non-adaptive control, system parameters were determined by off-line method of the least squares. In an identification part of self-tuning controllers a method of recursive least squares with directional adaptive forgetting factor has been used.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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