… , the proposed adaptive current regulator is designed by using a recurrent neural network …
, such as better harmonic mitigation ability, adaptive behavior, improved stability, and lesser …

… an adaptive controller for grid-tie DC-AC inverter in grid-connected Photovoltaic (PV) power
… controller oversees regulating the dc-bus voltage, managing the injected power to the grid, …

… In this article, the PV power output is forecast using one-year of electricity production data
from a solar power plant in the northeast Thailand area. A comparison of the PV power output …

… This synthetic control strategy is named neuro-adaptive arbitrary order sliding mode control
(NAAOSMC). The overall closed-loop stability is discussed in detail and simulations are …

… NEURAL NETWORK … regulation problem, the distributed adaptive dynamic programming
is proposed in this section. The optimal control law and value function, represented by neural …

… a new control strategy for the photovoltaic PV, it is a command based on Neuronal Network
… proposed by the authors in synthesizing control laws for the converters of electronic power. …

… conductance (INC) and perturb and observe of solar PV generation are given in [7]. In this
… solar PV power, which is easy to implement. Numerous control and power management …

… In this work, a Mode Adaptive Artificial Neural Network has been proposed for the dynamic
learning of renewable energy sources power generation prediction. The dynamic learning …

… adaptive backstepping neural network controller is proposed in this paper to extract the
maximum power from the solar panels by … The main form of air pollution is from power generation …

… In this article, an adaptive neural network boundary control scheme is designed for … output
constraint, and system parameter uncertainties. It should be noted that the designed control is …