Piecewise-Linear Neural Model for Helicopter Elevation Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F12%3A43894239" target="_blank" >RIV/60461373:22340/12:43894239 - isvavai.cz</a>
Alternative codes found
RIV/00216275:25530/12:39895032
Result on the web
<a href="http://dx.doi.org/10.5923/j.control.20120203.04" target="_blank" >http://dx.doi.org/10.5923/j.control.20120203.04</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5923/j.control.20120203.04" target="_blank" >10.5923/j.control.20120203.04</a>
Alternative languages
Result language
angličtina
Original language name
Piecewise-Linear Neural Model for Helicopter Elevation Control
Original language description
The contribution is focused on helicopter elevation control. The experiments are performed on helicopter model, which is significantly nonlinear plant and it simulates in some simplified way dynamics of real helicopter. There is derived new way to control it which uses piecewise-linear neural model. As it is shown at the end of the paper, this new control algorithm brings decent performance improvement compared to certain classical control technique.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Control Science and Engineering
ISSN
2168-4952
e-ISSN
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Volume of the periodical
2
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
5
Pages from-to
42-46
UT code for WoS article
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EID of the result in the Scopus database
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