In this work it is shown that artificial neural networks have certain characteristics that make
them advantageous in the development of controllers in the different levels of control that …

In recent years there has been a growing attention towards use of solar energy. The main
advantages of photovoltaic (PV) systems employed for harnessing solar energy are lack of …

Data-driven discovery is revolutionizing how we model, predict, and control complex
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …

This paper proposes an improved maximum power point tracking (MPPT) method for the
photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm. The …

Photovoltaic (PV) systems have witnessed a rapid increment, the yield mainly relies on the
working condition. In most cases, it is hard to obtain the optimal yield. Therefore, Maximum …

Incentives provided by European governments have resulted in the rapid growth of the
photovoltaic (PV) market. Many PV modules are now commercially available, and there are …

The energy problem is one of the most important and serious problems that humanity is
faced with it and this is while the fossil fuels are running out, so finding new sources of …

Extremum seeking is a form of adaptive control where the steady-state input-output
characteristic is optimized, without requiring any explicit knowledge about this input-output …

In the recent past, the solar photovoltaic (PV) system has emerged as the most promising
source of alternative energy. This solar PV system suffers from an unavoidable phenomenon …

A stand-alone hybrid power system is proposed in this paper. The system consists of solar
power, wind power, diesel engine, and an intelligent power controller. MATLAB/Simulink …