title: Indirect adaptive control for synchronous generator: comparison of MLP/RBF neural networks approach with Lyapunov stability analysis.
abstract: 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.
authors.affiliation: Georgia Institute of Technology, Atlanta, GA 30332, USA. jungwookpark@ieee.org
authors.forename: Jung-Wook
authors.initials: JW
authors.lastname: Park
authors.forename: Ronald G
authors.initials: RG
authors.lastname: Harley
authors.forename: Ganesh K
authors.initials: GK
authors.lastname: Venayagamoorthy
mesh_terms: D016571:Neural Networks, Computer