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Self - Organizing Migrating Algorithm used for Model Predictive Control of semi-batch Chemical Reactor

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875313" target="_blank" >RIV/70883521:28140/16:43875313 - isvavai.cz</a>

  • Alternative codes found

    RIV/70883521:28110/16:43875313

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-33389-2_25" target="_blank" >http://dx.doi.org/10.1007/978-3-319-33389-2_25</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-33389-2_25" target="_blank" >10.1007/978-3-319-33389-2_25</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Self - Organizing Migrating Algorithm used for Model Predictive Control of semi-batch Chemical Reactor

  • Original language description

    The current availability of powerful computing technologies enables using of complex computational methods. One of such complex method is also the self-organizing migrating algorithm (SOMA). This algorithm can be used for solving of various optimization problems. It may be used even for such complex task, as the non-linear process control is. In this paper, the capability of using SOMA algorithm for the model predictive control (MPC) of semi-batch chemical reactor is studied. The MPC controller including self-organizing migrating algorithm (SOMA) is used for the optimization of the control sequence. The reactor itself is used in chromium recycling process in leather industry.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Automation Control Theory Perspectives in Intelligent Systems: Proceedings of the 5th computer science on-line conference 2016. Vol. 3

  • ISBN

    978-3-319-33387-8

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    255-265

  • Publisher name

    Springer-Verlag Berlin

  • Place of publication

    Heidelberg

  • Event location

    on-line

  • Event date

    Apr 27, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000385788100025