Robust strong tracking unscented Kalman filter for non‐linear systems with unknown inputs

Robust strong tracking unscented Kalman filter for non‐linear systems with unknown inputs

Abstract This paper proposes a state estimation approach ‘robust strong tracking unscented Kalman filter with unknown inputs’ that can be applied to non‐linear systems with unknown inputs. Specifically, the non‐linear state and measurement equations are linearised by statistical linearisation. Then,...

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Bibliographic Details
Main Authors: Xinghua Liu, Jianwei Guan, Rui Jiang, Xiang Gao, Badong Chen, Shuzhi Sam Ge
Format: Article
Language:English
Published: Hindawi-IET 2022-05-01
Series:IET Signal Processing
Subjects:
multiple suboptimal fading factor
unbiased minimum variance
unknown inputs
unscented Kalman filter
Online Access:https://doi.org/10.1049/sil2.12098

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