For radio-based time-of-arrival (TOA) positioning systems applied in harsh environments,
obstacles in the surroundings and on the vehicle itself will block the signals from the …

The Gaussian noise distribution is typically used in dynamic state estimation (DSE) but it is
not always true in practice because of abnormal system inputs, impulsive noise and …

State estimation of dynamical systems is crucial for providing new decision-making and
system automation information in different applications. However, the assumptions on the …

This letter explores accurate frequency and phase tracking for single-phase power grid
applications. While the conventional type-2 phase-locked loop (PLL) offers fast dynamic …

Considering a common case where measurements are obtained from independent sensors,
we present a novel outlier-robust filter for nonlinear dynamical systems in this work. The …

This article proposes an online scheme for state estimation of a generic class of nonlinear
dynamical systems in the presence of abnormal measurement data from sensors. We …

This paper investigates the moving horizon estimation (MHE) problem of mobile robots with
measurement outliers. To deal with measurement outliers, the Euclidean distance of …

Dynamic state estimation (DSE) is a fundamental task in many fields, including control
systems, robotics, and signal processing. Traditional DSE methods, which rely on …

Uncertainties such as abnormal system inputs, strong model nonlinearities, outliers and
impulsive noise unavoidably exist in the power system dynamic state estimation (SE)(DSE) …

Sensors deployed in real-world conditions often produce measurements corrupted by
outliers due to model uncertainties, changes in the surrounding environment, and/or data …