Predictive Controller with Neural Network Classificator

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU93078" target="_blank" >RIV/00216305:26220/11:PU93078 - 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

Predictive Controller with Neural Network Classificator

Original language description

Predictive controllers are nowadays a necessary part of industrial processes. The main reason for application of this kind of controllers is their specific attributes which provide many advantages in this area. In this paper we will design multi-model predictive controller and make a comparison with standard predictive controller in closed loop which contains plant with uncertain parameters. Also we will be interested in problems which can be caused by noise in the closed loop. In the last part of the article we apply both predictive controllers in control circuit which contains the physical model.

Czech name

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Czech description

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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

<a href="/en/project/GD102%2F09%2FH081" target="_blank" >GD102/09/H081: SYNERGY - Mobile Sensoric Systems and Networks</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2011

Confidentiality

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

Name of the periodical

TechSys 2009 Internationa Conference Engieering, Technologies and Systems

ISSN

1310-8271

e-ISSN

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Volume of the periodical

16

Issue of the periodical within the volume

1

Country of publishing house

BG - BULGARIA

Number of pages

5

Pages from-to

259-263

UT code for WoS article

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EID of the result in the Scopus database

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