Robust stable iterated unscented Kalman filter based on maximum correntropy criterion
Abstract The Unscented Kalman filter (UKF) based on maximum correntropy criterion (MCC)
is robust to heavy-tailed non-Gaussian noise. However, the approximate linear …
is robust to heavy-tailed non-Gaussian noise. However, the approximate linear …
Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion
G Chang - Journal of Geodesy, 2014 - Springer
A robust Kalman filter scheme is proposed to resist the influence of the outliers in the
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
Robust power system state estimation with minimum error entropy unscented Kalman filter
The unscented Kalman filter (UKF) provides a powerful tool for power system forecasting-
aided state estimation (FASE). However, when the power systems are affected by the …
aided state estimation (FASE). However, when the power systems are affected by the …
[HTML][HTML] Evaluation of Advances in Battery Health Prediction for Electric Vehicles from Traditional Linear Filters to Latest Machine Learning Approaches
A Dineva - Batteries, 2024 - mdpi.com
In recent years, there has been growing interest in Li-ion battery State-of-Health (SOH)
estimation due to its critical role in ensuring the safe and reliable operation of Electric …
estimation due to its critical role in ensuring the safe and reliable operation of Electric …
Student's t-based robust Kalman filter for a SINS/USBL integration navigation strategy
In order to satisfy the requirements of the placement, the operation, and the high-precision
navigation and positioning for the underwater vehicles and the underwater operational …
navigation and positioning for the underwater vehicles and the underwater operational …
A robust generalized-maximum likelihood unscented Kalman filter for power system dynamic state estimation
This paper develops a new robust generalized maximum-likelihood-type unscented Kalman
filter (GM-UKF) that is able to suppress observation and innovation outliers while filtering out …
filter (GM-UKF) that is able to suppress observation and innovation outliers while filtering out …
Multiagent information fusion for connected driving: A review
This paper reviews the state-of-the-art multi-sensor fusion approaches applicable in the next-
generation intelligent transportation systems where connected vehicles are cooperatively …
generation intelligent transportation systems where connected vehicles are cooperatively …
A student's T-based measurement uncertainty filter for SINS/USBL tightly integration navigation system
T Zhang, J Wang, L Zhang, L Guo - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In order to suppress the impact of some error factors of the existing strap-down inertial
navigation system and ultra-short base line (SINS/USBL) position matching loosely …
navigation system and ultra-short base line (SINS/USBL) position matching loosely …
[HTML][HTML] Centered error entropy-based sigma-point Kalman filter for spacecraft state estimation with non-Gaussian noise
B Yang, H Huang, L Cao - Space: Science & Technology, 2022 - spj.science.org
The classical sigma-point Kalman filter (SPKF) is widely used in a spacecraft state
estimation area with the Gaussian white noise hypothesis. The actual sensor noise is often …
estimation area with the Gaussian white noise hypothesis. The actual sensor noise is often …
Diagnosis of outliers and cyber attacks in dynamic PMU-based power state estimation
Y Chakhchoukh, H Lei… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
The paper introduces a robust method to detect random errors and cyber-attacks targeting
alternating current (AC) dynamic state estimation through false data injection. The dynamic …
alternating current (AC) dynamic state estimation through false data injection. The dynamic …