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MULTIPLE MODEL MODELLING AND PREDICTIVE CONTROL

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F07%3A63505841" target="_blank" >RIV/70883521:28140/07:63505841 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    MULTIPLE MODEL MODELLING AND PREDICTIVE CONTROL

  • Original language description

    This paper proposes multiple model modelling and predictive control based on Local Model Networks (LMN). An LMN modelling method uses genetic algorithms for optimization of the parameters of local models and validity functions. Since each model is designed for different operating conditions, different predictive controllers are de-signed for each local model. The presented modelling and control design procedures are demonstrated on the model of pH neutralization process.

  • Czech name

    Modelování a prediktivní řízení pomocí multimodelů

  • Czech description

    Tento článek se zabývá modelováním a prediktivním řízení pomocí losítí lokálních modelů. Tyto modely jsou optimalizovány pomocí genetických algoritmů. Pro každý model je navrhnut lokální regulátor. Tento postup je demonstrován na modelu pH-neutralizace.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proc of the International Symposium on System Theory, Automation, Robotics, Computers, Informatics, Electronics and Instrumentation

  • ISBN

    978-973-742-839-4

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    146-151

  • Publisher name

    University of Craiova

  • Place of publication

    Craiova

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article