An intelligent paradigm for electric generator control based on supervisory loops

Abstract

In this paper a new approach to a neural network based intelligent adaptive controller, which consists of an online growing dynamic Radial Basis Function Neural Network (RBFNN) structure along with a Model Reference Adaptive Control (MRAC), is proposed. RBFNN control is used to approximate the nonlinear function and the MRAC control adapts when plant… (More)
DOI: 10.1109/IJCNN.2009.5178982

Topics

Cite this paper

@article{Kamalasadan2009AnIP, title={An intelligent paradigm for electric generator control based on supervisory loops}, author={Sukumar Kamalasadan and Gerald D. Swann and Adel A. Ghandakly}, journal={2009 International Joint Conference on Neural Networks}, year={2009}, pages={1489-1496} }