Comments on two recent papers on reduced-order optimal state estimation for linear systems with partially noise corrupted measurement

Two recent correspondence on the optimal singular state estimation problem are shown to be in error. Optimal (linear least-squares) estimators, based on an innovations approach [9], [10], are presented. An important outcome is the clarification and hopeful elimination of some current misconceptions in relation to stochastic observer theory.