Generalized Predictive Control with Adaptive Model Based on Neural Networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F05%3APU50469" target="_blank" >RIV/00216305:26220/05:PU50469 - 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

Generalized Predictive Control with Adaptive Model Based on Neural Networks

Original language description

Generalized Predictive Control (GPC) is well known control algorithm. If we put together predictive strategy of GPC and Neural Networks model, which is adaptive, then we obtain new controller with many advantages. Neural model is able to observe system changes and adapt itself, therefore regulator based on this model is adaptive. Algorithm was implemented in MATLAB-Simulink with aspect of future implementation to Programmable Logic Controller (PLC) B&R. It was tested on mathematical and physical modelsin soft-real-time realization. Predictive controller in comparison with classical discrete PID controller and it's advantages and disadvantages are shown.

Czech name

Zevšeobecněný prediktivní regulátor s adaptivním modelem na bázi neuronových sítí

Czech description

Článek popisuje implementaci prediktivního regulátoru s modelem na bázi neuronových sítí.

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BC - Theory and management systems

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2005

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

WSEAS Transactions on Circuits

ISSN

1109-2734

e-ISSN

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Volume of the periodical

4

Issue of the periodical within the volume

4

Country of publishing house

GR - GREECE

Number of pages

5

Pages from-to

385-389

UT code for WoS article

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EID of the result in the Scopus database

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