scholarly journals An on-line training radial basis function neural network for optimum operation of the UPFC

2010 ◽  
Vol 21 (1) ◽  
pp. 27-39 ◽  
Author(s):  
M. E. A. Farrag ◽  
Ghanim Putrus
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Basis Function ◽  
Optimum Operation ◽  
Radial Basis ◽  
On Line

SCR Control System Design Based on On-Line Radial Basis Function and Backpropagation Neural Networks

2017 ◽  
Author(s):  
Wenbo Sui ◽  
Carrie M. Hall
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Basis Function ◽  
Nox Reduction ◽  
Control Technique ◽  
Urea Solution ◽  
Backpropagation Neural Network ◽  
Reduction Efficiency ◽  
Radial Basis ◽  
On Line

Because of its high NOx reduction efficiency, selective catalyst reduction (SCR) has become an indispensable part of diesel vehicle aftertreatment. This paper presents a control strategy for SCR systems that is based on an on-line radial basis function neural network (RBFNN) and an on-line backpropagation neural network (BPNN). In this control structure, the radial basis function neural network is employed as an estimator to provide Jacobian information for the controller; and the backpropagation neural network is utilized as a controller, which dictates the appropriate urea-solution to be injected into the SCR system. This design is tested by simulations based in Gamma Technologies software (GT-ISE) as well as MATLAB Simulink. The results show that the RBF-BPNN control technique achieves a 1–5 % higher NOx reduction efficiency than a PID controller.

On-line fault section estimation in power systems with radial basis function neural network

2002 ◽  
Vol 24 (4) ◽  
pp. 321-328 ◽  
Author(s):  
Tianshu Bi ◽  
Zheng Yan ◽  
Fushuan Wen ◽  
Yixin Ni ◽  
C.M. Shen ◽  
...  
Keyword(s):  
Neural Network ◽  
Power Systems ◽  
Radial Basis Function ◽  
Basis Function ◽  
Radial Basis ◽  
On Line
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