Extension of unbiased minimum-variance input and state estimation for systems with unknown inputs
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Publication:1036689
DOI10.1016/j.automatica.2009.05.004zbMath1175.93213OpenAlexW2088619025MaRDI QIDQ1036689
Publication date: 13 November 2009
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2009.05.004
Filtering in stochastic control theory (93E11) Control/observation systems with incomplete information (93C41) Estimation and detection in stochastic control theory (93E10)
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Cites Work
- Unbiased minimum-variance input and state estimation for linear discrete-time systems
- Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough
- Unbiased minimum-variance linear state estimation
- Unbiased minimum variance estimation for systems with unknown exogenous inputs
- Extension of minimum variance estimation for systems with unknown inputs.
- Robust two-stage Kalman filters for systems with unknown inputs
- Optimal filtering in stochastic discrete-time systems with unknown inputs
- Optimal filtering for systems with unknown inputs
- Optimal solution of the two-stage Kalman estimator
- Optimal filtering and robust fault diagnosis of stochastic systems with unknown disturbances
- On the optimality of recursive unbiased state estimation with unknown inputs
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