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Simulation of predictive control algorithm for rotary furnace producing magnesite sinter

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F15%3A39900197" target="_blank" >RIV/00216275:25530/15:39900197 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.4028/www.scientific.net/JERA.18.36" target="_blank" >http://dx.doi.org/10.4028/www.scientific.net/JERA.18.36</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4028/www.scientific.net/JERA.18.36" target="_blank" >10.4028/www.scientific.net/JERA.18.36</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Simulation of predictive control algorithm for rotary furnace producing magnesite sinter

  • Original language description

    The paper describes the design of predictive control algorithm for rotary furnace control. At the beginning of the paper, there are defined the main aims of the predictive control. Then, the functional diagram using artificial neural networks as a reference model is proposed and, eventually, the functionality of described approach is demonstrated on a simulated example.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Engineering Research in Africa

  • ISSN

    1663-3571

  • e-ISSN

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    8

  • Pages from-to

    36-43

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84945192473