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《Journal of Shanghai Jiaotong University》 2005-S1
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A Novel Fuzzy Neural Network Approach for Excitation System Modeling

AI Qian, ZHOU Yu-guang, GU Dan-zhen, CHEN Chen, XU Wei-hua(School of Electronic,Information and Electrical Eng., Shanghai Jiaotong Univ., Shanghai 200030, China)  
Precise model plays a vital role in simulation of dynamic process of power systems. By combining the fuzzy theory and neural network technology, a fuzzy neural network (FNN) was proposed, whose learning algorithms are developed by steep algorithm. The excitation system model based on FNN was also derived, which can be used for on-line and off-line analysis and control respectively. The simulation results demonstrate that the FNN model can give precise estimation of practical excitation system.
【CateGory Index】: TP183
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