scholarly journals Neural-Network Aided Dynamic Control for Delivering Media Streams in Selfish Wireless Networks With Unknown Node-Selfishness

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 31759-31771 ◽  
Author(s):  
Jinglei Li ◽  
Xinbo Gao ◽  
Qinghai Yang ◽  
Wen Gao ◽  
Kyung Sup Kwak
Keyword(s):  
Neural Network ◽  
Wireless Networks ◽  
Dynamic Control ◽  
Unknown Node ◽  
Node Selfishness

Elman Neural Network for Dynamic Control of Wind Power Systems

2013 ◽  
Vol 479-480 ◽  
pp. 570-574
Author(s):  
Cong Hui Huang ◽  
Chih Ming Hong ◽  
Yih Feng Su ◽  
Song Mao Lee ◽  
Chuan Sing Jhuang ◽  
...  
Keyword(s):  
Neural Network ◽  
Power Systems ◽  
Control Strategies ◽  
Radial Basis Function Network ◽  
Dynamic Control ◽  
Energy System ◽  
Pv System ◽  
Elman Neural Network ◽  
Power Sources ◽  
Point Tracking

This paper presents Elman neural network for the dynamic control strategies of a hybrid power system that include wind/photovoltaic/diesel system. Wind and PV power are the primary power sources of the system to take full advantages of renewable energy, and the diesel-engine is used as a backup system. A simulation model for the hybrid energy system has been developed using MATLAB/Simulink. To achieve a fast and stable response for the real power control, the intelligent controller consists of a Radial Basis Function Network (RBFN) and an modified Elman Neural Network (ENN) for maximum power point tracking (MPPT). The pitch angle of wind turbine is controlled by ENN, and the PV system uses RBFN, where the output signal is used to control the DC / DC boost converters to achieve the MPPT.

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