A study on non-linear discrete-time state-space models and adaptive extended Kalman filter application on oscillatıon of an object tied to the end of spring

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dc.contributor.authorÖztürk, Fikri
dc.contributor.authorÖzbek, Levent
dc.contributor.departmentİstatistiktr_TR
dc.contributor.facultyFen Fakültesitr_TR
dc.date.accessioned2021-12-01T12:36:53Z
dc.date.available2021-12-01T12:36:53Z
dc.date.issued2021-07-01
dc.description.abstractIn this work, Adaptive Extended Kalman Filter (AEKF) is introduced and its use for oscillation of an object connected to the end of a spring is shown. As a new approach, an AEKF is used as a nonlinear estimation tool for online estimation of the states and parameters of an oscillating object attached to the end of a spring model. Parameter states that do not change with time were examined. The simulation results revealed that with proper selection of initial values of AEKF, AEKF is a very useful tool for this particular application.tr_TR
dc.description.indexTrdizintr_TR
dc.identifier.endpage92tr_TR
dc.identifier.issn/e-issn2618-6462
dc.identifier.issue1tr_TR
dc.identifier.startpage80tr_TR
dc.identifier.urihttp://hdl.handle.net/20.500.12575/76579
dc.identifier.volume63tr_TR
dc.language.isoentr_TR
dc.publisherAnkara Üniversitesi Fen Fakültesitr_TR
dc.relation.journalCommunications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineeringtr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıtr_TR
dc.subjectNoninear state-space modelstr_TR
dc.subjectExtended Kalman filtertr_TR
dc.subjectNonlinear estimationtr_TR
dc.titleA study on non-linear discrete-time state-space models and adaptive extended Kalman filter application on oscillatıon of an object tied to the end of springtr_TR
dc.typeArticletr_TR

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