Sage–Husa Algorithm Based on Adaptive Double Forgetting Factors
In order to address the issues of insufficient filtering accuracy and filtering divergence that have been observed in the Sage–Husa algorithm when applied to nonlinear system state estimation, an adaptive double forgetting factor-based Sage–Husa algorithm is proposed. This algorithm builds upon the...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2025-02-01
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| シリーズ: | Applied Sciences |
| 主題: | |
| オンライン・アクセス: | https://www.mdpi.com/2076-3417/15/4/1731 |
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