相关实验视频

Updated: Jun 27, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
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Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

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在连续离散扩展卡尔曼波器的SPD多元组上基于日志-欧几里德度量的协差传播

Jiaolong Wang1, Chengxi Zhang1, Shunyi Zhao1

  • 1Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, Jiangsu, China.

ISA transactions
|April 27, 2024
PubMed
概括

本研究为连续离散扩展卡尔曼波器 (CDEKF) 引入了一个Log-Euclidean度量 (LEM),以改进共变性集成. 这种新方法通过考虑对称正确数矩阵的里曼结构来提高非线性系统的估计准确性.

关键词:
连续的离散系统.协方差传播的传播扩展的卡尔曼过器逻辑-欧几里德度量计.对称的正确的确定的确定的确定的确定的.

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