To address the interference of outliers on the estimation of state and measurement noise
covariance matrix, an adaptive maximum correntropy cubature Kalman filter with variational …

The performance of the maximum correntropy criterion filter is affected by the kernel size,
while the present kernel size adaptive methods are prone to excessive convergence. To …

Lithium-ion batteries have become the most appropriate batteries to use in modern electric
vehicles due to their high-power density, long lifecycle, and low self-discharge rate. The …

In this paper, we investigate the distributed state estimation of non-Gaussian systems, where
every sensor only exchanges information within its neighborhoods in the absence of a …

Kernel size plays a significant role in the performance of the maximum correntropy Kalman
filter (MCC-KF). Kernel size is usually chosen by trail and error. If the kernel size is large, the …

Multiple forms of interference and noise that impact the receiver's capacity to receive and
interpret satellite signals, and consequently the preciseness of positioning and navigation …

Generally, the traditional Kalman filter (KF) is derived under the well-known minimum mean
square error (MMSE) criterion, which is optimal under the Gaussian assumption. However …

Target tracking plays an important role in the construction, operation, and maintenance of
the space station by the robot, which puts forward high requirements on the accuracy of …

In this article, the robust state estimation for discrete-time systems subject to non-Gaussian
process and measurement noises is considered. Employing the ability of mixture correntropy …

Structural noise and outliers are widely present in real‐world state estimate scenarios, and
they significantly degrade the performance of most filtering algorithms based on minimum …