Name
Title | ||
|---|---|---|
Distributed weighted fusion estimation for uncertain networked systems with transmission time-delay and cross-correlated noises. |
Abstract | ||
|---|---|---|
This paper investigates the state estimation issue for uncertain networked systems considering data transmission time-delay and cross-correlated noises. A distributed robust Kalman filtering-based perception and centralized fusion method is proposed to improve the estimation accuracy from perturbed measurement; consequently, reduce the amount of redundant information and alleviate the estimation burden. To describe the transmission time-delay and give rise to cross-correlated and state-dependent noises in the exchange measurement among neighbors, a weighted fusion reorganized innovation strategy is proposed to reduce the computational burden and suppress noise effect. Moreover, to obtain the optimal linear estimate, a fusion estimation approach is used for information collaboration by weighting the error cross-covariance matrices. Finally, an illustrative example is presented to demonstrate the effectiveness and robustness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.neucom.2017.02.095 | Neurocomputing |
Keywords | Field | DocType |
Distributed fusion estimation,Robust Kalman filtering,Uncertain networked systems,Transmission time-delay,Cross-correlated noises | Weighting,Data transmission,Matrix (mathematics),Control theory,Fusion,Robustness (computer science),Kalman filter,Mathematics,Transmission time delay | Journal |
Volume | Issue | ISSN |
270 | C | 0925-2312 |
Citations | PageRank | References |
6 | 0.41 | 33 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Li | 1 | 76 | 24.03 |
| Aolei Yang | 2 | 25 | 5.36 |
| Xiaowei Tu | 3 | 11 | 2.54 |
| Minrui Fei | 4 | 14 | 2.59 |
| Wasif Naeem | 5 | 55 | 6.52 |