Abstract
A minimum variance linear filter which estimates only a part of the state is presented in this paper. The undesired part of the state is eliminated by a simple linear transformation. A filter is derived for the new reduced order plant dynamics which contain one-step-correlated noise and a simple delay. Comparison to the Kalman filter shows that the new reduced order filter can give a substantial reduction in computational burden and storage requirements.
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