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 …

This paper presents a new bivariate dimension reduction method (BDRM) for statistical
moments evaluation and structural reliability analysis with accuracy and efficiency. A high …

Evaluating the large reliability index of an implicit and nonlinear performance function (PF) is
still a challenging problem in practical engineering. To overcome this problem, an efficient …

We present an uncertainty quantification (UQ) algorithm using the intrusive generalized
polynomial chaos (gPC) expansion in combination with dimension reduction techniques and …

In target tracking, the tracking process needs to constantly update the data information.
However, during data acquisition and transmission of sensors, outliers may occur frequently …

To better solve the filtering problem of transfer alignment with an inaccurate measurement
noise covariance matrix, a novel computationally efficient version of existing variational …

In tracking a maneuverable target, a proper estimation method with better filtering accuracy,
stronger robustness, and faster convergence speed is crucial to the tracking system. The …

Vehicle state, including location and motion information, plays an essential role on the
Internet of Vehicles (IoV). Accurately obtaining the system state information is the premise of …

In this work, the fourth-moment method and the higher-order unscented transformation is
combined to calculate the failure probability. The higher-order unscented transformation is …

This paper derives a new maximum correntropy divided difference filter (DDF) to address the
heavy-tailed measurement noise induced by non-Gaussian measurements in cooperative …