Parametric Identification Based on the Adaptive Unscented Kalman Filter

DOI10.14529/mmp200210zbMath1455.93201OpenAlexW3080237980MaRDI QIDQ3387333

Vladimir Mikhaĭlovich Chubich, Oksana Sergeevna Chernikova

Publication date: 12 January 2021

Published in: Bulletin of the South Ural State University. Series "Mathematical Modelling, Programming and Computer Software" (Search for Journal in Brave)

Full work available at URL: http://mathnet.ru/eng/vyuru548

zbMATH Keywords

parametric identificationadaptive unscented Kalman filterML methodnonlinear stochastic continuous-discrete systemsolar radiation modelspacecraft motion model

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Identification in stochastic control theory (93E12)

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Two-Stage Parametric Identification Procedure for a Satellite Motion Model Based on Adaptive Unscented Kalman Filters

Cites Work

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• Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations
• On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems

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