The performance of microgrid operation requires hierarchical control and estimation
schemes that coordinate and monitor the system dynamics within the expected manipulated …

Abstract Distributed Generations (DGs) with Electric Vehicles (EVs) now play a key role in
the planning of power distribution systems. The integration of DGs with EVs planning in the …

The adoption of hybridized energy storage systems (HESSs) in standalone photovoltaic (PV)
systems instead of single battery ESSs offers featured capabilities of high power/energy …

The sliding innovation filter (SIF) is a recently developed estimation technique that has
gained widespread use. It is a predictor-corrector filter that utilizes a hyperplane and applies …

Currently, microgrids are frequently used and various control algorithms have been applied
to improve their performance in both grid-connected and islanded modes. However …

This study presents the development of a new filter, the sequential sliding innovation filter
(SSIF), designed for estimating quantities of interest from noisy measurements. The SIF is …

The sliding innovation filter is a newly developed filter that was derived in 2020 to be a
predictor-corrector filter. The filter uses the measurement as a hyperplane, and then applies …

This paper introduces an efficient formulation of synergetic control that is based on an
integral macro-variable function. This suggested integral synergetic control is integrated with …

Estimating the position of a unmanned ground vehicle (UGV) that is navigating a complex
road is a challenging task. Numerous algorithms have been developed to estimate the …

The concept of an autonomous rover system to perform maintenance, investigations, and
data collection in remote or inaccessible locations has seen an increased demand recently …