Information fusion robust guaranteed cost Kalman estimators with uncertain noise variances and missing measurements
Author:
Affiliation:
1. Department of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, People’s Republic of China
Publisher
Informa UK Limited
Subject
Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207721.2019.1690719
Reference42 articles.
1. Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements
2. Optimal filtering for systems with finite-step autocorrelated process noises, random one-step sensor delay and missing measurements
3. Distributed Fusion Estimation With Missing Measurements, Random Transmission Delays and Packet Dropouts
4. New approach to information fusion steady-state Kalman filtering
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