Abstract
For the Kalman filter-type sampled-data estimation problem utilizing an averaging A/D device, the equivalent discrete-time problem is shown to be of increased order. The fixed-structure optimal projection approach for reduced-order, discrete-time estimation is applied to the equivalent discrete-time problem in order to characterize reduced-order estimators.
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