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Robust control of air flow speed in laboratory model of hot-air tunnel: Multiplicative uncertainty-based approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F23%3A63570418" target="_blank" >RIV/70883521:28140/23:63570418 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-21438-7_42" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-21438-7_42</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-21438-7_42" target="_blank" >10.1007/978-3-031-21438-7_42</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Robust control of air flow speed in laboratory model of hot-air tunnel: Multiplicative uncertainty-based approach

  • Original language description

    This contribution deals with the comparison of control simulations and real-world control experiments on a laboratory model of a hot-air tunnel using robustly relatively stabilizing Proportional-Integral(-Derivative) (PI(D)) controllers. The control synthesis takes advantage of the recently published authors’ work that has presented a method for calculation of robustly relatively stabilizing PID controllers for Linear Time-Invariant (LTI) systems with unstructured uncertainty. Even though controller design uses the plant model with unstructured multiplicative uncertainty, the simulations are based on sampling the uncertain parameters in a corresponding model with parametric uncertainty. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Networks and System (Volume 597 LNNS)

  • ISBN

    978-3-031-21437-0

  • ISSN

    2367-3370

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    529-538

  • Publisher name

    Springer Science and Business Media Deutschland GmbH

  • Place of publication

    Berlín

  • Event location

    on-line

  • Event date

    Oct 10, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000992418500042