Distributed Moving Horizon Estimation for Linear Constrained Systems

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.


Published in:
IEEE Transactions on Automatic Control, 55, 11, 2462-2475
Year:
2010
Laboratories:




 Record created 2017-01-10, last modified 2020-07-30


Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)