Weighted Fusion Robust Steady-State Kalman Filters for Multisensor System with Uncertain Noise Variances
Joint Authors
Qi, Wen-Juan
Deng, Zi-Li
Zhang, Peng
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A direct approach of designing weighted fusion robust steady-state Kalman filters with uncertain noise variances is presented.
Based on the steady-state Kalman filtering theory, using the minimax robust estimation principle and the unbiased linear minimum variance (ULMV) optimal estimation rule, the six robust weighted fusion steady-state Kalman filters are designed based on the worst-case conservative system with the conservative upper bounds of noise variances.
The actual filtering error variances of each fuser are guaranteed to have a minimal upper bound for all admissible uncertainties of noise variances.
A Lyapunov equation method for robustness analysis is proposed.
Their robust accuracy relations are proved.
A simulation example verifies their robustness and accuracy relations.
American Psychological Association (APA)
Qi, Wen-Juan& Zhang, Peng& Deng, Zi-Li. 2014. Weighted Fusion Robust Steady-State Kalman Filters for Multisensor System with Uncertain Noise Variances. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-466534
Modern Language Association (MLA)
Qi, Wen-Juan…[et al.]. Weighted Fusion Robust Steady-State Kalman Filters for Multisensor System with Uncertain Noise Variances. Journal of Applied Mathematics No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-466534
American Medical Association (AMA)
Qi, Wen-Juan& Zhang, Peng& Deng, Zi-Li. Weighted Fusion Robust Steady-State Kalman Filters for Multisensor System with Uncertain Noise Variances. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-466534
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466534