Two Approaches to Neural Network Predictive Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F10%3A00023488" target="_blank" >RIV/60461373:22340/10:00023488 - isvavai.cz</a>
Alternative codes found
RIV/00216275:25530/10:39881439
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Two Approaches to Neural Network Predictive Control
Original language description
There are described two approaches to predictive control with neural model, in this paper. The first one is the common approach and it is included in Neural Network Toolbox of Matlab. However, the second one is little bit more sophisticated. That technique joins idea of predictive control with robustness and goodwill of PID controller. That is, the second technique aims to tune discrete PID controller online through knowledge of controlled system neural model. Both techniques will be compared and rated.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of XXXV. Seminar ASR '2010 Instruments and Control
ISBN
978-80-248-2191-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
VŠB - Technická univerzita Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Jan 1, 2010
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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