conference paper
A moving horizon scheme for distributed state estimation
Farina, M.
•
Ferrari-Trecate, G.
•
Scattolini, R.
2009
Proceedings of the 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference
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.
Type
conference paper
Author(s)
Farina, M.
Ferrari-Trecate, G.
Scattolini, R.
Date Issued
2009
Published in
Proceedings of the 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference
Start page
1818
End page
1823
Editorial or Peer reviewed
REVIEWED
Written at
OTHER
EPFL units
| Event place | Event date |
Available on Infoscience
January 10, 2017
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