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Avtomatika i Telemekhanika, 2020, Issue 2, Pages 18–35
DOI: https://doi.org/10.31857/S0005231020020026 (Mi at15447) 		 
This article is cited in 19 scientific papers (total in 19 papers)

Linear Systems

Diagnosis of linear dynamic systems: an approach based on sliding mode observers

A. N. Zhirabokab, A. V. Zuevbc, A. E. Shumskya

a Far Eastern Federal University, Vladivostok, Russia
b Institute for Marine Technology Problems, Far Eastern Branch, Russian Academy of Sciences, Vladivostok, Russia
c Innopolis University, Innopolis, Russia
Full-text PDF (484 kB) Citations (19)
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DOI: https://doi.org/10.31857/S0005231020020026
Abstract: The problem of functional diagnosis of technical systems described by linear dynamic models under disturbances is considered. For solving the problems of detection, isolation and identification of faults, a method based on sliding mode observers is used. Modifications of this method for relaxing the implementation constraints in comparison with the well-known results and also for reducing the complexity of diagnostic tools are proposed.
Keywords: linear systems, diagnosis, fault identification, sliding mode observers.
Funding agency Grant number
Russian Science Foundation 16-19-00046-П
Ministry of Education and Science of the Russian Federation МК-1987.2018.8
The design method of sliding mode observers was developed under support of the Russian Science Foundation, project no. 16-19-00046-P. The observers for fault detection were synthesized under support of grant no. MK-1987.2018.8 of the President of the Russian Federation.
Presented by the member of Editorial Board: S. A. Krasnova

Received: 19.10.2018
Revised: 19.06.2019
Accepted: 18.07.2019
English version:
Automation and Remote Control, 2020, Volume 81, Issue 2, Pages 211–225
DOI: https://doi.org/10.1134/S0005117920020022
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. N. Zhirabok, A. V. Zuev, A. E. Shumsky, “Diagnosis of linear dynamic systems: an approach based on sliding mode observers”, Avtomat. i Telemekh., 2020, no. 2, 18–35; Autom. Remote Control, 81:2 (2020), 211–225
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/at/y2020/i2/p18
    • This publication is cited in the following 19 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Full-text PDF :35
    References:21
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