Name
Abstract | ||
|---|---|---|
This paper presents a novel distributed estimation algorithm based on the concept of moving horizon estimation. Under weak observability conditions we prove convergence of the state estimates computed by any sensor to the correct state even when constraints on noise are taken into account in the estimation process. Simulation examples are provided in order to show the main features of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CDC.2009.5400244 | Shanghai |
Keywords | Field | DocType |
distributed parameter systems,state estimation,distributed state estimation,moving horizon scheme,sensor | Convergence (routing),Observability,Mathematical optimization,Computer science,Control theory,Horizon,Moving horizon estimation,Kalman filter,Distributed parameter system | Conference |
ISSN | ISBN | Citations |
0191-2216 E-ISBN : 978-1-4244-3872-3 | 978-1-4244-3872-3 | 6 |
PageRank | References | Authors |
0.87 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcello Farina | 1 | 335 | 36.83 |
| Giancarlo Ferrari-Trecate | 2 | 831 | 77.29 |
| Scattolini, Riccardo | 3 | 140 | 11.73 |