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《Control Engineering of China》 2007-S2
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Prediction of the State of Missile Power System Based on Fuzzy Neural Network

MA Bao-min,MENG Jian-qi,TIAN Lu(Unit 203,The Second Artillery Engineering College,Xi'an 710025,China)  
Monitoring the states of missile power system exactly and timely is very important in process of missile working,which helps the missile works safely and reliably.The compensative fuzzy neural network(CFNN) based on compensative fuzzy logic and neural network and its study arithmetic are researched.Considering its features as fast speed,steady studying course,global dynamic optimization,CFNN is applied to establish missile power system states forecasting model.The result of simulation shows that the model has faster convergence and better forecasting precision,and it works well in the process of predicting missile power system states.
【CateGory Index】: TP183;TJ760
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