This study focused on fuel cell electric unmanned aerial vehicle (FC-EUAV) in order to find solutions to problems such as the short-lived and limited long flight endurance of unmanned aerial vehicles operating with fossil ...

MCSR can simplify the system reactive power and voltage control in the super / special high-voltage power grid, suppress power frequency and operation over voltage, eliminating generator self excitation, dynamically ...

In this paper, dynamic operation and optimization of a grid connected hybrid system including photovoltaics (PV) and fuel cell (FC) is presented. For this purpose, abc/dq transform based power flow controller is used in ...

Solar-powered systems can supply clean and sustainable energy for both service requirements and also for the propulsion of marine vessels. However, the restricted available area for photovoltaic panels and high setup costs ...

In this study, first-order and second-order sliding mode speed controller for the Precision Modular Servo (PMS) setup produced by Feedback Instruments is proposed. The second-order sliding mode controller which permits ...

Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised and supervised training. Arrhythmia is a cardiac irregularity caused by a problem of the heart. In this study, a multi-stage ...

This paper presents PID and SMC control schemes on a Field Programmable Gate Array device (FPGA) for robot manipulators. The implementation of the control systems on FPGA by using optimal hardware resources is one of the ...

Increase in popularity of deep convolutional neural networks in many different areas leads to increase in the use of these networks in reinforcement learning. Training a huge deep neural network structure by using simple ...

The possibility of negative refractive index in plasma and magnetic materials was considered with a new approach. It is shown that simplification of fundamental equations by neglecting losses leads to losing important ...

In recent years, sliding mode control has become a preferred because of its convenience and robustness. And sliding mode control techniques have been commonly employed in a various applications. In this study, the Precision ...