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Novel iterative cubature Kalman filters under maximum correntropy criterion for the robust state estimation

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Publication:6660430
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DOI10.1002/asjc.3315MaRDI QIDQ6660430

Shun Tong, Tao Lu, Yue Hu, Weidong Zhou

Publication date: 10 January 2025

Published in: Asian Journal of Control (Search for Journal in Brave)




zbMATH Keywords

quasi-NewtonGauss-Newtoncubature Kalman filternon-Gaussian noisesLevenberg-Marquardtmaximum correntropy criterion (MCC)


Mathematics Subject Classification ID

Systems theory; control (93-XX)


Cites Work

  • Unnamed Item
  • Maximum correntropy Kalman filter
  • Maximum correntropy unscented Kalman and information filters for non-Gaussian measurement noise
  • Probabilistic state estimation of dynamic objects with a moving mobile robot
  • Some Relations Between Extended and Unscented Kalman Filters
  • Cubature Kalman Filters
  • Stochastic Event-Based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks
  • The iterated Kalman filter update as a Gauss-Newton method
  • Nonlinear Bayesian estimation using Gaussian sum approximations







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