Moving horizon estimation for linear singular systems
Résumé
In this paper, the moving horizon recursive state estimator for linear singular systems is derived from the least squares estimation problem. It will be shown that this procedure yields the same state estimate as the Kalman filter for descriptor systems if the noise is Gaussian. A numerical example is presented to prove the performance of the proposed filter.