Predictive Control of Radio Telescope Using Multi-layer Perceptron Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86086877" target="_blank" >RIV/61989100:27240/13:86086877 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/13:86086877
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Predictive Control of Radio Telescope Using Multi-layer Perceptron Neural Network
Original language description
Radio telescope (RT) installations are highly valuable assets and during the period of their service life they need regular repair and maintenance to be carried out for delivering satisfactory performance and minimizing downtime. With the growing automation technologies, predictive control can prove to be a better approach than the traditionally applied visual inspection policy and linear models. In this paper, Irbene Radio telescope RT-16 disk rotation control motors are analysed. Retrieved data from the small DC motor is used for the predictive control approach. A Multilayer Perceptron (MLP) network approach is used for prediction of the indicator voltage output which affects the monitoring of the disk rotating angle
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
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Intelligent Systems and Computing. Volume 239
ISSN
2194-5357
e-ISSN
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Volume of the periodical
210
Issue of the periodical within the volume
2013
Country of publishing house
DE - GERMANY
Number of pages
12
Pages from-to
233-244
UT code for WoS article
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EID of the result in the Scopus database
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