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Reducing the Effect of White Noise in Gyro Data

dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorShumski, Andrei
dc.contributor.authorKarpovich, Dmitry
dc.contributor.authorGindullin, Roman
dc.date.accessioned2025-12-15T07:53:43Z
dc.date.available2025-12-15T07:53:43Z
dc.date.issued2020
dc.identifier.isbn9781728197807en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159541
dc.description.abstractThis article proposes a method for reducing the influence of white noise on gyroscope data using the fuzzy set theory. The control system was synthesized in the Matlab Simulink graphical simulation environment. Allan dispersion approach for estimating white noise is considered.en_US
dc.format.extent4 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/159395en_US
dc.source.urihttps://ieeexplore.ieee.org/document/9108776en_US
dc.subjectcontrol systemen_US
dc.subjectgyro dataen_US
dc.subjectfuzzy regulatoren_US
dc.subjectKalman filteren_US
dc.titleReducing the Effect of White Noise in Gyro Dataen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2020-06-05
dcterms.references5en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionBelarusian State Technological Universityen_US
dc.contributor.institutionMozyr Oil Refineryen_US
dcterms.sourcetitle2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9781728197791en_US
dc.publisher.nameIEEEen_US
dc.publisher.countryUnited States of Americaen_US
dc.publisher.cityNew Yorken_US
dc.identifier.doihttps://doi.org/10.1109/eStream50540.2020.9108776en_US


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