Minimum Mixture Error Entropy-Based Robust Cubature Kalman Filter for Outlier-Contaminated Measurements
Author:
Affiliation:
1. School of Automation, Northwestern Polytechnical University, Xi'an, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7782634/9973431/09964428.pdf?arnumber=9964428
Reference15 articles.
1. Numerically stable minimum error entropy Kalman filter
2. Robust Power System State Estimation With Minimum Error Entropy Unscented Kalman Filter
3. Discrete-Time Nonlinear Filtering Algorithms Using Gauss–Hermite Quadrature
4. A Robust Generalized-Maximum Likelihood Unscented Kalman Filter for Power System Dynamic State Estimation
5. Insights Into the Robustness of Minimum Error Entropy Estimation
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2. Time‐varying group formation tracking control for multi‐agent systems using distributed multi‐sensor multi‐target filtering with intermittent observations;International Journal of Robust and Nonlinear Control;2024-08-19
3. Limited Memory-Based Random-Weighted Kalman Filter;Sensors;2024-06-14
4. Numerically Stable Centered Error Entropy and Mixture Minimum Error Entropy Estimators for Bearings-Only Target Tracking Problem;IEEE Sensors Letters;2023-12
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