Practical state and bias estimation of process systems with initial information uncertainty

DOI10.1080/00207727708942085zbMath0358.93039OpenAlexW2088414487WikidataQ126250770 ScholiaQ126250770MaRDI QIDQ4132362

B. Bellingham, F. P. Lees

Publication date: 1977

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207727708942085

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10)

Related Items (1)

Estimation of atmospheric CO₂concentration using Kalman filtering

Cites Work

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• Estimation of noise covariance matrices for a linear time-varying stochastic process
• Comments on "Identification of optimum filter steady-state gain for systems with unknown noise covariances"
• Parallel computation in linear discrete filtering
• Identification of optimum filter steady-state gain for systems with unknown noise covariances
• Adaptive filtering

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