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

Autor:	ÖZTÜRK, Fikri, ÖZBEK, Levent
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Noninear state-space models extended Kalman filter nonlinear estimation Engineering Mühendislik
Zdroj:	Volume: 63, Issue: 1 80-92 Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering
ISSN:	1303-6009 2618-6462
Popis:	In 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=tubitakulakb::935f4f8520814508234db1471c98ca60 https://dergipark.org.tr/tr/pub/aupse/issue/57159/809161 Zobrazit plný text záznamu