DocumentCode
3306557
Title
A moving horizon scheme for distributed state estimation
Author
Farina, Marcello ; Ferrari-Trecate, Giancarlo ; Scattolini, Riccardo
Author_Institution
Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
fYear
2009
fDate
15-18 Dec. 2009
Firstpage
1818
Lastpage
1823
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.
Keywords
distributed parameter systems; state estimation; distributed state estimation; moving horizon scheme; sensor; Computer networks; Convergence; Estimation error; Filtering algorithms; Iterative algorithms; Kalman filters; Monitoring; Observability; Sensor systems; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location
Shanghai
ISSN
0191-2216
Print_ISBN
978-1-4244-3871-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2009.5400244
Filename
5400244
Link To Document