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Semi-adaptive decentralized PI control of TITO system with parameters estimates quantization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63556559" target="_blank" >RIV/70883521:28140/22:63556559 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-031-09385-2_6" target="_blank" >http://dx.doi.org/10.1007/978-3-031-09385-2_6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-09385-2_6" target="_blank" >10.1007/978-3-031-09385-2_6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Semi-adaptive decentralized PI control of TITO system with parameters estimates quantization

  • Original language description

    The paper presents one method of decentralized control. It combines PI control, pre-identification and quantization of the identified parameters of the system model. Controller parameters were computed using stability boundary locus. Parameters of the controlled system were pre-identified using least squares method from the response for each combination of requested values. Changes of the parameters estimates of the system were realized from the previous ones using three quantized values between them. The method was verified on the system with three inputs and three outputs with interactions realized by P-structure of the model. © 2022, 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

    20301 - Mechanical engineering

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2022

  • 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 Mechanical Engineering

  • ISBN

    978-3-031-09384-5

  • ISSN

    2195-4356

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    63-71

  • Publisher name

    Springer Science and Business Media Deutschland GmbH

  • Place of publication

    Berlín

  • Event location

    Guimaraes

  • Event date

    Jun 28, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article