The optimal projection equations for reduced-order state estimation: The singular measurement noise case

Wassim M. Haddad, Dennis S. Bernstein · IEEE Transactions on Automatic Control · 1987

The optimal projection equations for reduced-order state estimation are generalized to allow for singular (i.e., colored) measurement noise. The noisy and noise-free measurements serve as inputs to dynamic and static estimators, respectively. The optimal solution is characterized by necessary conditions which involve a pair of oblique projections corresponding to reduced estimator order and singular measurement noise intensity.

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