A Novel Robust Student's t-Based Kalman Filter

Y Huang, Y Zhang, N Li, Z Wu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
A novel robust Student's t-based Kalman filter is proposed by using the variational Bayesian
approach, which provides a Gaussian approximation to the posterior distribution. Simulation …

A type-3 logic fuzzy system: Optimized by a correntropy based Kalman filter with adaptive fuzzy kernel size

SN Qasem, A Ahmadian, A Mohammadzadeh… - Information …, 2021 - Elsevier
In this study, a self-organizing interval type-3 fuzzy logic system (SO-IT3FLS) with a new
learning algorithm is presented. An adaptive kernel size using fuzzy systems is introduced to …

Minimum error entropy Kalman filter

B Chen, L Dang, Y Gu, N Zheng… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To date, most linear and nonlinear Kalman filters (KFs) have been developed under the
Gaussian assumption and the well-known minimum mean square error (MMSE) criterion. In …

Robust Kalman filters based on Gaussian scale mixture distributions with application to target tracking

Y Huang, Y Zhang, P Shi, Z Wu, J Qian… - … on Systems, Man …, 2017 - ieeexplore.ieee.org
In this paper, a new robust Kalman filtering framework for a linear system with non-Gaussian
heavy-tailed and/or skewed state and measurement noises is proposed through modeling …

Maximum correntropy unscented Kalman and information filters for non-Gaussian measurement noise

G Wang, N Li, Y Zhang - Journal of the Franklin Institute, 2017 - Elsevier
In this paper, we investigate the state estimation problem of nonlinear systems with non-
Gaussian measurement noise. Based on a newly defined cost function which is obtained by …

A new outlier-robust student's t based Gaussian approximate filter for cooperative localization

Y Huang, Y Zhang, B Xu, Z Wu… - … /ASME Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, a new outlier-robust Student's t based Gaussian approximate filter is proposed
to address the heavy-tailed process and measurement noises induced by the outlier …

A novel robust Kalman filter with unknown non-stationary heavy-tailed noise

H Zhu, G Zhang, Y Li, H Leung - Automatica, 2021 - Elsevier
In this article, the state estimation with unknown non-stationary heavy-tailed process and
measurement noises (HPMN) is considered. The measurement likelihood and the one-step …

Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication: Progress, Insights and Trends

W Song, Z Wang, Z Li, J Wang… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
The nonlinear filtering problem has enduringly been an active research topic in both
academia and industry due to its ever-growing theoretical importance and practical …

Robust state of charge estimation for Li-ion batteries based on cubature kalman filter with generalized maximum correntropy criterion

W Ma, P Guo, X Wang, Z Zhang, S Peng, B Chen - Energy, 2022 - Elsevier
Kalman filters (KFs) are widely used for state-of-charge (SOC) estimation of Li-ion batteries
due to their excellent dynamic tracking capability. Especially the cubature KF (CKF), with the …

An adaptive Kalman filter with inaccurate noise covariances in the presence of outliers

H Zhu, G Zhang, Y Li, H Leung - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, a novel variational Bayesian (VB) adaptive Kalman filter with inaccurate
nominal process and measurement noise covariances (PMNC) in the presence of outliers is …