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

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1 Author(s)
O'Reilly, J. ; University of Liverpool, Liverpool, England

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.

Published in:

Automatic Control, IEEE Transactions on  (Volume:27 ,  Issue: 1 )

Date of Publication:

February 1982

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