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Journals / Gazi Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2000 / Cilt: 13 - Sayı: 2

Adaptive Kalman filter

Uyarlı Kalman filtresi

Levent ÖZBEK
Pages
369–380
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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

In this study, the divergence problem of the Kalman Filter is considered when the state space is modeled incorrectly and some results of the solution of the problem are reviewed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:When investigation of basic characteristics of a real system it can be modeled incorrectly for some different reasons such as approximated values can be taken to achive the goal and some simplifications are needed.
📊
Key Findings & Data:In this case, in order to solve the divergence problem of the Kalman Filter, there must be some changes and robustness in filtering.
💡
Conclusion & Impact:In this study, the divergence problem of the Kalman Filter is considered when the state space is modeled incorrectly and some results of the solution of the problem are reviewed.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

When investigation of basic characteristics of a real system it can be modeled incorrectly for some different reasons such as approximated values can be taken to achive the goal and some simplifications are needed. In this case, in order to solve the divergence problem of the Kalman Filter, there must be some changes and robustness in filtering. In this study, the divergence problem of the Kalman Filter is considered when the state space is modeled incorrectly and some results of the solution of the problem are reviewed.

Özet

Gerçek bir sistemin modeli oluşturulurken amaca uygun olarak yaklaşık değerlerin alınması, bazı basitleştirmelerin yapılması, eksik bilginin olması sonucu, sistemin temel karakteristiklerinin incelenmesinde daima hatalarla karşılaşılır. Çeşitli nedenlerden dolayı Kalman Filtresinde ortaya çıkan ıraksama probleminin giderilebilmesi için filtreleme işleminde bazı değişikliklerin ve güçlendirmelerin yapılması gerekmiştir. Bu çalışmada, durum-uzay modelinin başlangıçta hatalı kurulması durumunda, Kalman Filtresinde ortaya çıkan ıraksama problemi göz önüne alınmış ve bu sorunların giderilmesine yönelik yapılan çalışmalar hakkında bilgi verilmiştir.

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Cite This Article

ÖZBEK, L. (2022). Adaptive Kalman filter. Gazi Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 13 - Sayı: 2, 369–380. https://ajindex.com/articles/522479

References (4)

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