Sequential Covariance Intersection Fusion Robust Time-Varying Kalman Filters with Uncertainties of Noise Variances for Advanced Manufacturing

Sequential Covariance Intersection Fusion Robust Time-Varying Kalman Filters with Uncertainties of Noise Variances for Advanced Manufacturing

This paper addresses the robust Kalman filtering problem for multisensor time-varying systems with uncertainties of noise variances. Using the minimax robust estimation principle, based on the worst-case conservative system with the conservative upper bounds of noise variances, the robust local time...

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Bibliographic Details
Main Authors: Wenjuan Qi, Shigang Wang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Micromachines
Subjects:
multisensor data fusion
sequential covariance intersection fusion
robust Kalman filter
robust accuracy
uncertain noise variance
convergence
Online Access:https://www.mdpi.com/2072-666X/13/8/1216

Internet

https://www.mdpi.com/2072-666X/13/8/1216

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