Optimization of Covariance Matrices of Kalman Filter with Unknown Input Using Modified Directional Bat Algorithm

The proper selection of the model error covariance matrix and the measurement noise covariance matrix of Kalman filter is an optimization problem. Some scholars have studied this, but there is relatively little research on the selection of the two covariance matrices for Kalman filters with an unkno...

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主要な著者:	Lijun Liu, Chang Yin, Yonghui Su, Yinghai Lin, Ying Lei
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-01-01
シリーズ:	Buildings
主題:	Kalman filter with unknown inputs extended Kalman filter with unknown inputs model error covariance matrix measurement noise covariance matrix modified directed bat algorithm
オンライン･アクセス:	https://www.mdpi.com/2075-5309/15/2/196
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