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Journals / Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering / 2026 / Volume: 63 Issue: 1

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

Fikri Öztürk(ANKARA UNIVERSITY)0000-0002-7175-7372
Levent Özbek(ANKARA UNIVERSITY)0000-0003-1018-3114
Pages
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Publication Date
2021-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The simulation results revealed that with proper selection of initial values of AEKF, AEKF is a very useful tool for this particular application.

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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.
📊
Key Findings & Data: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.
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Conclusion & Impact:The simulation results revealed that with proper selection of initial values of AEKF, AEKF is a very useful tool for this particular application.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Noninear state-space models · extended Kalman filter · nonlinear estimation

Abstract

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.

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Cite This Article

Öztürk, F., Özbek, L. (2021). 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. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, Volume: 63 Issue: 1. https://doi.org/10.33769/aupse.809161

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