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Non-centralized active fault diagnosis for stochastic systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956345" target="_blank" >RIV/49777513:23520/19:43956345 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8814809" target="_blank" >https://ieeexplore.ieee.org/document/8814809</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Non-centralized active fault diagnosis for stochastic systems

  • Original language description

    The paper deals with a new active fault diagnosis framework for stochastic large scale systems, that are assumed to be decomposed into weakly coupled input-decentralized sub-systems. The solution to the active detection problem is based on the multiple-model framework and behavior of each subsystem is represented by a set of models describing fault-free and faulty behavior of the subsystems. The centralized, decentralized, and distributed architectures of the active fault detector are introduced, the corresponding optimization problems are set up and approximate solutions to these problems are proposed. The behavior of the detector in the considered architectures is illustrated using a numerical example.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceeding of the 2019 American Control Conference (ACC)

  • ISBN

    978-1-5386-7926-5

  • ISSN

    0743-1619

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    5052-5057

  • Publisher name

    IEEE

  • Place of publication

    Philadelphia

  • Event location

    Philadelphia, USA

  • Event date

    Jul 10, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article