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Multimodel approach in state-space predictive control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63521134" target="_blank" >RIV/70883521:28140/18:63521134 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.scs-europe.net/dlib/2018/ecms2018acceptedpapers/0232_mct_ecms2018_0839.pdf" target="_blank" >http://www.scs-europe.net/dlib/2018/ecms2018acceptedpapers/0232_mct_ecms2018_0839.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7148/2018-0005" target="_blank" >10.7148/2018-0005</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multimodel approach in state-space predictive control

  • Original language description

    This paper presents a multimodel approach to control nonlinear systems. The system of the inverted pendulum which has one control input and two measured outputs was chosen as an exemplar process. This system is an example of the nonlinear process with a sampling period in order of milliseconds. The state-space predictive control of the system described by CARIMA model was chosen as a control method. This paper presents a description of the inverted pendulum nonlinear mathematical model, its linearization and the control signal calculation using predictor-corrector method. The results compare three methods of linearized model combination. All of the simulations were done in Matlab

  • 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<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings - 32nd European Conference on Modelling and Simulation, ECMS 2018

  • ISBN

    978-0-9932440-6-3

  • ISSN

    2522-2414

  • e-ISSN

    neuvedeno

  • Number of pages

    7

  • Pages from-to

    "nestrankovano"

  • Publisher name

    European Council for Modelling and Simulation

  • Place of publication

    Madrid

  • Event location

    Wilhelmshaven

  • Event date

    May 22, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article