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This article is cited in 5 scientific papers (total in 5 papers)
Nonlinear Systems
Fault identification: an approach based on optimal control methods
A. A. Kabanova, A. V. Zuevb, A. N. Zhirabokbc, V. F. Filaretovd a Sevastopol State University, Sevastopol, Russia
b Far Eastern Federal University, Vladivostok, Russia
c Institute of Marine Technology Problems, Far Eastern Branch,
Russian Academy of Sciences, Vladivostok, Russia
d Institute of Automation and Control Processes, Far Eastern Branch,
Russian Academy of Sciences, Vladivostok, Russia
Abstract:
This paper considers the problem of identifying (estimating) faults in systems described by linear models under exogenous disturbances. It is solved using optimal control methods; in comparison with sliding mode observers, they avoid high-frequency switching. The solution method proposed below involves a reduced model of the original system that is sensitive to faults and insensitive to disturbances. The corresponding theory is illustrated by an example.
Keywords:
linear systems, faults, identification, observers, optimal systems.
Citation:
A. A. Kabanov, A. V. Zuev, A. N. Zhirabok, V. F. Filaretov, “Fault identification: an approach based on optimal control methods”, Avtomat. i Telemekh., 2023, no. 9, 82–94; Autom. Remote Control, 84:9 (2023), 956–965
Linking options:
https://www.mathnet.ru/eng/at16205 https://www.mathnet.ru/eng/at/y2023/i9/p82
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