Reduced-order optimal state estimator for linear systems with partially noise corrupted measurement

DOI10.1109/TAC.1980.1102470zbMath0446.93045MaRDI QIDQ3892160

No author found.

Publication date: 1980

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

zbMATH Keywords

reduced-orderlinear- Gaussian systemsMarkov-Gauss modelnoise corrupted measurement

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)

Related Items (6)

Modified stochastic Luenberger observers ⋮ Comments on ‘A duality principle for state estimation with partially noise-corrupted measurements’ ⋮ Innovation approach to reduced-order estimation of complementary states. ⋮ A duality principle for state estimation with partially noise-corrupted measurements ⋮ Reduced order state estimation for linear systems with exact measurements ⋮ Some results on linear equality constrained state filtering

This page was built for publication: Reduced-order optimal state estimator for linear systems with partially noise corrupted measurement