In order to identify the road friction coefficient of the left and right sides of the vehicle more
accurately, this paper presents an estimation framework based on a novel tyre model and …

This study presents a modified variable step size (VSS) least mean square (LMS)‐based
control for improving the performance of a single‐stage photovoltaic (PV) integrated grid …

Frequency variations are much faster and more significant in microgrids with low-inertia
inverters and other control devices for distributed generation. Accordingly, it is imperative to …

This article reexamines the problem of estimating symmetrical sequence components, more
specifically, the optimal estimation of the magnitude and phases of sequence components …

Monitoring the voltage frequency is of great significance in power systems. In this paper we
propose two novel frequency estimators, namely the unbalanced HAM-WLS (UHW) …

The minimum error entropy (MEE) criterion has been receiving increasing attention over the
minimum mean square error (MMSE) criterion in non-Gaussian noise distribution, because it …

This study presents a single‐stage solar energy conversion system tied to a three‐phase
grid using a multiple second‐order generalised integrator frequency locked loop (MSOGI …

This paper develops a Kalman filter-based method to estimate the magnitude and phases of
currents and voltages of a single-phase transmission line. Unlike common-place practices …

In system identification, if the filter input and the desired signal are both interfered by noise,
traditional adaptive filtering algorithms will not work effectively. The recently presented bias …

In this brief, an augmented complex least mean lncosh (ACLlncosh) algorithm is proposed to
estimate the frequency of the three-phase unbalanced power system in impulsive noise …