Name
Abstract | ||
|---|---|---|
This paper is concerned with the pose estimation problem for networked vehicles by designing distributed filtering with an event-triggered communication mechanism. By utilizing the event-based distributed filter structure and event-induced behaviors, we obtain the augmented system equations for networked vehicles. Based on the augmented system, an upper bound of the distributed filtering error variance is obtained by a recursive algorithm and can be minimized at each iteration with proper filter parameters computed via a simplified matrix approach. Simulative studies are given to show the effectiveness of the proposed filtering design method. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICCA.2018.8444255 | 2018 IEEE 14th International Conference on Control and Automation (ICCA) |
Keywords | Field | DocType |
event-triggered distributed pose estimation,networked vehicles,event-triggered communication mechanism,event-induced behaviors,augmented system equations,distributed filtering error variance,proper filter parameters | Distributed filtering,Recursion (computer science),Error variance,Matrix (mathematics),Upper and lower bounds,Control theory,Filter (signal processing),Pose,Event triggered,Engineering | Conference |
ISSN | ISBN | Citations |
1948-3449 | 978-1-5386-6090-4 | 0 |
PageRank | References | Authors |
0.34 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Jiang | 1 | 8 | 5.33 |
| Xinghua Liu | 2 | 76 | 14.84 |
| Han Wang | 3 | 148 | 22.31 |
| Shuzhi Sam Ge | 4 | 7786 | 444.41 |