Adaptive Linear Network in Model Predictive Control of Continuous Chemical Reactor

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F09%3A63508099" target="_blank" >RIV/70883521:28110/09:63508099 - 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

Adaptive Linear Network in Model Predictive Control of Continuous Chemical Reactor

Original language description

The contribution is aimed at predictive control of nonlinear processes with the help of adaptive linear artificial neural network as the predictor. Since this methodology is relatively wide, paper only concentrates on the prediction via artificial neuralnetworks. Special attention is paid to the on-line adaption of the predictor. The proposed method is tested in simulations on a nonlinear system.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JB - Sensors, detecting elements, measurement and regulation

OECD FORD branch

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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

TMT 2009 Proceedings

ISBN

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ISSN

1840-4944

e-ISSN

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Number of pages

4

Pages from-to

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Publisher name

Faculty of Mechanical Engineering

Place of publication

Zenica

Event location

Hammamet

Event date

Oct 16, 2009

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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