Title
Performance Evaluation of Distributed Linear Regression Kalman Filtering Fusion
Abstract
This article studies the performance evaluation of distributed linear regression Kalman filtering fusion for nonlinear systems. Sufficient conditions are established for the convergence of the centralized fusion (CF) under the assumption of bounded estimation error covariance, and a measure of performance is derived from the convergence conditions. By the performance analysis, it can be found that...
Year
DOI
Venue
2021
10.1109/TAC.2020.3012638
IEEE Transactions on Automatic Control
Keywords
DocType
Volume
Convergence,Kalman filters,Estimation error,Linear regression,Performance evaluation,Performance analysis
Journal
66
Issue
ISSN
Citations 
6
0018-9286
0
PageRank 
References 
Authors
0.34
7
4
Name
Order
Citations
PageRank
Xusheng Yang1122.97
Wen-an Zhang295259.07
Li Yu31509116.88
Ling Shi41717107.86