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Output-Feedback Model Predictive Control for Systems under Uniform Disturbances

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F20%3A00536061" target="_blank" >RIV/67985556:_____/20:00536061 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CoDIT49905.2020.9263867" target="_blank" >http://dx.doi.org/10.1109/CoDIT49905.2020.9263867</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CoDIT49905.2020.9263867" target="_blank" >10.1109/CoDIT49905.2020.9263867</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Output-Feedback Model Predictive Control for Systems under Uniform Disturbances

  • Original language description

    The paper deals with an output-feedback model predictive control (MPC) for discrete-time systems influenced by bounded disturbances. The proposed MPC combines a state-space design and a state estimation. The state estimates are obtained by a specific uniform Bayesian filter. It provides an evident disturbance attenuation in the estimated state. The MPC design considers a quadratic cost function that incorporates penalties on the tracking error, on the actuation effort and on the system output increments. The theoretical results are completed by illustrative examples using a dynamic model of a parallel kinematic machine as a controlled system.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/GA18-15970S" target="_blank" >GA18-15970S: Optimal Distributional Design for External Stochastic Knowledge Processing</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • 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 of the 7th International Conference on Control, Decision and Information Technologies (CoDIT) 2020

  • ISBN

    978-1-7281-5954-6

  • ISSN

    2576-3555

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    897-902

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Prague

  • Event date

    Jun 29, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article