Control of the hot-air aggregate using neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F01%3A00000293" target="_blank" >RIV/61989100:27230/01:00000293 - 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
Control of the hot-air aggregate using neural networks
Original language description
This paper is dealing with a system control using neural networks in the real time. There is presented a short description of hot-air aggregate a control system that was controlled by the direct inverse method. The control results are compared with a traditional control using PID controller. The system control and design of neural controller were realised in the MATLAB, SIMULINK with both Real Time and Neural Network Toolboxes program environment
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
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
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
7th Annual International Conference on Soft Computing. Brno
ISBN
80-214-1894-X
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
335-340
Publisher name
Vysoké učení technické v Brně
Place of publication
Brno
Event location
Brno
Event date
Aug 6, 2001
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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