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research article
Distributed Moving Horizon Estimation for Linear Constrained Systems
Farina, M.
•
Ferrari-Trecate, G.
•
Scattolini, R.
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 sensors to the correct state even when constraints on noise and state variables are taken into account in the estimation process. Simulation examples are provided in order to show the main features of the proposed method.
Type
research article
Authors
Farina, M.
•
Ferrari-Trecate, G.
•
Scattolini, R.
Publication date
2010
Published in
Volume
55
Issue
11
Start page
2462
End page
2475
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
January 10, 2017
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