Name
Title | ||
|---|---|---|
Distributed Fusion Estimation for Stochastic Uncertain Systems With Network-Induced Complexity and Multiple Noise |
Abstract | ||
|---|---|---|
This article investigates an issue of distributed fusion estimation under network-induced complexity and stochastic parameter uncertainties. First, a novel signal selection method based on event trigger is developed to handle network-induced packet dropouts, as well as packet disorders resulting from random transmission delays, where the
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performance of the system is analyzed in different noise environments. In addition, a linear delay compensation strategy is further employed for solving the complex network-induced problem, which may deteriorate system performance. Moreover, a weighted fusion scheme is used to integrate multiple resources through an error cross-covariance matrix. Several case studies validate the proposed algorithm and demonstrate satisfactory system performance in target tracking. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCYB.2021.3059367 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Distributed fusion estimation,network-induced complexity,stochastic and deterministic uncertainty,transmission delays | Journal | 52 |
Issue | ISSN | Citations |
9 | 2168-2267 | 0 |
PageRank | References | Authors |
0.34 | 40 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Li | 1 | 76 | 24.03 |
| Wenju Zhou | 2 | 0 | 0.68 |
| Minrui Fei | 3 | 1003 | 117.54 |
| Zhile Yang | 4 | 71 | 14.83 |
| Hongyong Yang | 5 | 49 | 14.03 |
| Huiyu Zhou | 6 | 1303 | 111.91 |