A Variational Bayesian Truncated Adaptive Filter for Uncertain Systems with Inequality Constraints

In this paper, a variational Bayesian (VB) truncated adaptive filter for uncertain systems with inequality constraints is proposed. By choosing the skew-t and inverse Wishart distributions as the prior information of the measurement noise and predicted error covariance matrix, the state vector, the...

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Bibliographic Details
Main Authors: Tianli Ma, Rong Zhang, Song Gao, Hong Li, Yang Zhang
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:IET Signal Processing
Online Access:http://dx.doi.org/10.1049/2024/3809689
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