A novel fuzzy neural network approach for excitation system modeling
Weihua Xu, Qian Ai, Yuguang Zhou, Chuanwen Jiang · 2005
Abstract: By combining the fuzzy theory and neural network technology, a fuzzy neural network (FNN) is proposed in this paper, whose learning algorithms are developed by steep algorithm. The excitation system model based on FNN is also derived in this paper, which can be used for on-line and off-line analysis and control respectively. The simulation results demonstrate that the FNN models can give precise estimation of practical excitation system.