REDUCED ORDER KALMAN FILTERING WITHOUT MODEL REDUCTION
D. Simon · Control and Intelligent Systems · 2007
This paper presents all optimal discrete time reduced order Kalman filter. The reduced order filter is used to estimate a linear combination of a subset of the state vector. Most previous approaches to reduced order filtering rely on a reduction of the model order. However, this paper takes the full model order into account. The reduced order filter is obtained by minimizing the trace of the estimation error covariance.