An enhanced adaptive Kalman filtering for linear systems with inaccurate noise statistics
Author:
Affiliation:
1. School of Automation Northwestern Polytechnical University Xi'an China
2. Key Laboratory of Information Fusion Technology Ministry of Education Xi'an China
Publisher
Wiley
Subject
Control and Systems Engineering,Electrical and Electronic Engineering,Mathematics (miscellaneous)
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2964
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1. Improving GPS/INS integration using FIKF‐filtered innovation Kalman filter;Shaghaghian A.;Asian J. Control,2018
2. Robust fault detection filters design for switched systems with all subsystems unstable;Su Q.;Asian J. Control,2020
3. Continuous‐discrete filters for bearings‐only underwater target tracking problems;Radhakrishnan R.;Asian J. Control,2019
4. A New Approach to Linear Filtering and Prediction Problems
5. New Results in Linear Filtering and Prediction Theory
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1. Robust weighted fusion Kalman filters under linearly correlated noise and mixed uncertainties of noise variances, multiplicative noises, and multiple networked inducements;Asian Journal of Control;2023-08-02
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