Elman Neural Networks in Model Predictive Control

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F09%3A63508097" target="_blank" >RIV/70883521:28110/09:63508097 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Elman Neural Networks in Model Predictive Control
Original language description
The goal of this paper is to present interesting way how to model and predict nonlinear systems using recurrent neural network. This type of artificial neural networks is underestimated and marginalized. Nevertheless, it offers superior modelling features at reasonable computational costs. This contribution is focused on Elman Neural Network, two-layered recurrent neural network. The abilities of this network are presented in the nonlinear system control. The task of the controller is to control the liquid level in the second of two interconnected cylindrical tanks. The mathematical model of the real-time system was derived in order to test predictor and consequently the controller in Matlab/Simulink simulations.
Czech name
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Czech description
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Project
<a href="/en/project/GP102%2F07%2FP137" target="_blank" >GP102/07/P137: Predictive control using artificial neural networks with online adaptation of predictor</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 23rd European Conference on Modelling and Simulation ECMS 2009
ISBN
0-9553018-8-2
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
European Council for Modelling and Simulation
Place of publication
Madrid
Event location
Madrid
Event date
Jun 9, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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