Guaranteed estimation in the problems of navigation information processing

A new approach for guaranteed state estimation of a linear system under parameter uncertainties in correlated disturbances and measurement errors is suggested. Conditions for adjustment of a Kalman-type filter with guaranteed estimation are derived for the case that the correlated disturbances and m...

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Hauptverfasser: Tupysev, V.A., Stepanov, O.A., Loparev, A.V., Litvinenko, Y.A.
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Stepanov, O.A.
Loparev, A.V.
Litvinenko, Y.A.
description A new approach for guaranteed state estimation of a linear system under parameter uncertainties in correlated disturbances and measurement errors is suggested. Conditions for adjustment of a Kalman-type filter with guaranteed estimation are derived for the case that the correlated disturbances and measurement errors are first-order Markov processes. The efficiency of the suggested method is illustrated by a navigation problem solved for aiding the inertial navigation system.
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Control systems
Covariance matrix
Filtering
Information processing
Kalman filters
Measurement errors
Navigation
Riccati equations
State estimation
Stochastic processes
title Guaranteed estimation in the problems of navigation information processing
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