Two efficient Kalman filter algorithms for measurement packet dropping systems under maximum correntropy criterion

DOI10.1016/J.SYSCONLE.2023.105515zbMath1519.93224OpenAlexW4362573695MaRDI QIDQ6161378

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Publication date: 27 June 2023

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sysconle.2023.105515

zbMATH Keywords

state estimationKalman filternon-Gaussian noisemaximum correntropy criterionpacket dropping systems

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)

Cites Work

• Maximum correntropy Kalman filter
• Maximum correntropy unscented Kalman and information filters for non-Gaussian measurement noise
• The extended Kalman filter as an exponential observer for nonlinear systems
• Cubature Kalman Filters
• A New Derivation of the Cubature Kalman Filters
• Kalman Filtering With Intermittent Observations
• Maximum correntropy unscented filter
• Convergence and Mean Square Stability of Suboptimal Estimator for Systems With Measurement Packet Dropping
• Optimal recursive estimation with uncertain observation

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