A robust maximum power point tracking (MPPT) control is of paramount importance in the
performance enhancement and the optimization of photovoltaic systems (PVSs). Solar panel …

In this article, a novel method based on interval type-3 fuzzy logic systems (IT3-FLSs) and an
online learning approach is designed for power control and battery charge planing for …

In this research work, a third-order sliding mode control (TOSMC) is suggested to achieve
the maximum power point (MPP) in a photovoltaic (PV) system application under variable …

Taking into account the nonlinear feature of a PV array, a Maximum Power Point Tracking
(MPPT) algorithm is required in a PV system leading the operation at the Maximum Power …

In this paper, a robust/adaptive perturbation observer based fractional-order sliding-mode
controller (POFO-SMC) is designed for a photovoltaic (PV) inverter connected to the power …

For this paper, the problem of energy/voltage management in photovoltaic (PV)/battery
systems was studied, and a new fractional-order control system on basis of type-3 (T3) fuzzy …

In this paper, a new robust fuzzy control approach is presented to power management in the
photovoltaic (PV)-battery hybrid system. The stability and robustness of the developed …

In this paper a novel strategy using type-3 (T3) fuzzy logic systems (FLSs) is designed for
voltage management in the hybrid systems that include photovoltaic, battery and hydrogen …

This paper deals with a comparative evaluation of nonlinear controllers based on the linear
regression technique, which is a machine learning algorithm for maximum power point …

This paper presents the design and experimental validation of a new Sliding Mode
Controller (SMC) for a single-phase grid-tie inverter in a photovoltaic (PV) Maximum Power …