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dc.contributor.authorJohansen, Tor-Aleksander
dc.contributor.authorKristiansen, Raymond
dc.date.accessioned2018-01-22T13:10:34Z
dc.date.available2018-01-22T13:10:34Z
dc.date.issued2017-07-03
dc.description.abstractThis paper presents the implementation of an adaptive fading multiplicative extended Kalman filter (AFMEKF), applied to the problem of attitude estimation in the context of quadrotors. The extended Kalman filter is adapted for use with quaternions and made adaptive to account for inaccurate measurement information. Simulations have been conducted in order to validate the filter performance.en_US
dc.identifier.citationJohansen TA, Kristiansen R Quadrotor attitude estimation using adaptive fading multiplicative EKF. American Control Conference (ACC), IEEE conference proceedings 2017en_US
dc.identifier.cristinIDFRIDAID 1526059
dc.identifier.doi10.23919/ACC.2017.7963120
dc.identifier.issn0743-1619
dc.identifier.issn2378-5861
dc.identifier.urihttps://hdl.handle.net/10037/12001
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.journalAmerican Control Conference (ACC)
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Technology: 500en_US
dc.titleQuadrotor attitude estimation using adaptive fading multiplicative EKFen_US
dc.typeKonferansebidragno
dc.typeConference objecten_US


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