Indirect adaptive control for synchronous generator: comparison of MLP/RBF neural networks approach with Lyapunov stability analysis.
This paper compares two indirect adaptive neurocontrollers, namely a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) to control a synchronous generator. The different damping and transient performances of two neurocontrollers are compared with those of conventional linear controllers, and analyzed based on the Lyapunov direct method.
Park
Jung-Wook
JW
Georgia Institute of Technology, Atlanta, GA 30332, USA. jungwookpark@ieee.org
Harley
Ronald G
RG
Venayagamoorthy
Ganesh K
GK
D016571:Neural Networks, Computer