Novel iterative cubature Kalman filters under maximum correntropy criterion for the robust state estimation
From MaRDI portal
Publication:6660430
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)
quasi-NewtonGauss-Newtoncubature Kalman filternon-Gaussian noisesLevenberg-Marquardtmaximum correntropy criterion (MCC)
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
This page was built for publication: Novel iterative cubature Kalman filters under maximum correntropy criterion for the robust state estimation