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Thermal Process Control Using Neural Model and Genetic Algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F19%3A39915223" target="_blank" >RIV/00216275:25530/19:39915223 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-30329-7_35" target="_blank" >http://dx.doi.org/10.1007/978-3-030-30329-7_35</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-30329-7_35" target="_blank" >10.1007/978-3-030-30329-7_35</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Thermal Process Control Using Neural Model and Genetic Algorithm

  • Original language description

    Predictive Controller of a laboratory thermal process is presented in the paper. Process model is approximated by a neural network. On-line optimization is done by a genetic algorithm. Control algorithm is tested on the laboratory thermal process and compared to the standard control methods like predictive controller with the transfer and state-space linear model and the quadratic programming optimization method or a PI controller.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Computational statistics and mathematical modeling methods in intelligent systems : proceedings of 3rd computational methods in systems and software 2019, Vol. 2

  • ISBN

    978-3-030-31361-6

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    393-403

  • Publisher name

    Springer Nature Switzerland AG

  • Place of publication

    Cham

  • Event location

    Zlín

  • Event date

    Sep 10, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article