Disturbance Estimation via Moving Horizon Estimation for In-flight Model-based Wind Estimation
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abstract
Disturbance estimation is an important topic in many applications. We investigate the linear Kalman filter and the linear moving horizon estimator for disturbance estimation, specifically for the case of in-flight model-based wind estimation. We consider different scenarios of available measurements. 2011 Elsevier B.V.