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Self-Tuning Kalman Filter Design for Offshore Platform Coordinates Estimation

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dc.contributor.authorHajiyev, Ch.M.
dc.contributor.authorCaliskan, F.
dc.date.accessioned2026-01-26T03:37:11Z
dc.date.issued2001-05-01
dc.description.abstractAbstract In this paper, a self-tuning Kalman filter for offshore platform (OP) position supervision is designed. The complete OP motion is assumed to be composed of the low-frequency motion caused by the wind and undercurrent, and the high frequency motion caused by the sea-way. The state estimation problem for the model of the low-frequency OP motion, on which the in-service control is performed, is solved through two jointly operating Kalman filters: the first one is used for the estimation of the states of the low-frequency motion, and the second one is employed for the highfrequency one. The parameters of the first filter are automatically adapted to variations of the second filter.
dc.description.urihttps://doi.org/10.1016/s1474-6670(17)34347-1
dc.description.urihttps://dx.doi.org/10.1016/s1474-6670(17)34347-1
dc.identifier.doi10.1016/s1474-6670(17)34347-1
dc.identifier.endpage182
dc.identifier.issn1474-6670
dc.identifier.openairedoi_dedup___::d68893c1c4412502f01bf5cd0af0f8a5
dc.identifier.startpage177
dc.identifier.urihttps://hdl.handle.net/11527/59523
dc.identifier.volume34
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofIFAC Proceedings Volumes
dc.rightsOPEN
dc.sdg.typeGoal 14: Life Below Water
dc.titleSelf-Tuning Kalman Filter Design for Offshore Platform Coordinates Estimation
dc.typeArticle
dspace.entity.typePublication

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