The development of an effective maximum power point tracking (MPPT) algorithm is
important in order to achieve maximum power operation in a photovoltaic system (PV). In …

This paper represents a novel direct adaptive neural control (DANC) method for maximum
power point tracking (MPPT) of photovoltaic (PV) systems. A DC/DC buck converter to …

Artificial Intelligence (AI) techniques, particularly the neural networks, are recently having
significant impact on power electronics. This paper explores the perspective of neural …

This paper proposes an artificial neural network (ANN) voltage tracking of multi-input
interleaved buck-boost DC-DC converter. A back-propagation algorithm topology is …

This paper presents a power control system for DC-DC boost converter integrated with
Photovoltaic (PV) arrays using optimized back propagation Artificial Neural Network (ANN) …

In this paper is presented the modelling of a buck DC/DC converter with neural network
controller. The possibilities of this control method for function approximation are …

Based on the application of the ship power management system, the purpose of this work is
to provide a method for operating an autonomous voltage regulator. To maintain the steady …

The reason behind the sudden rise in the demand of solar PV systems is that they generate
electrical energy without polluting the environment. However the sun radiation never …

The DC servo motor drives are broadly utilized in delivering excessive performance robot
packages. In high performance programs, the rate of motor suffer various parameter …