Abstract | ||
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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 Yang | 1 | 12 | 2.97 |
Wen-an Zhang | 2 | 952 | 59.07 |
Li Yu | 3 | 1509 | 116.88 |
Ling Shi | 4 | 1717 | 107.86 |