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Adaptive Predictive Control of Nonlinear Servo System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866034" target="_blank" >RIV/70883521:28140/11:43866034 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptive Predictive Control of Nonlinear Servo System

  • Original language description

    This paper deals with design and implementation of self-tuning predictive control for control of a real servo ? motor system. The control algorithm was realized as a self - tuning controller with the recursive least square method in the identification part. The initial parameter estimates were set on the basis of the transfer function of the system. The predictive controller considers constraints of input variables. The algorithm was tested on a non-linear real system AMIRA DR300

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Annals of DAAAM for 2011 & Proceedings of the 22nd International DAAAM Symposium "Intelligent Manufacturing & Automation: Power of Knowledge and Creativity"

  • ISBN

    978-3-901509-83-4

  • ISSN

    1726-9679

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    1439-1440

  • Publisher name

    DAAAM International Vienna

  • Place of publication

    Vienna

  • Event location

    Vienna

  • Event date

    Nov 23, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article