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- W2379452078 abstract "To satisfy the requirements of higher accuracy and faster response in AC servo system, a system with a fuzzy neural network controller based on immune genetic algorithm (IGA) optimization was designed. The controller combined the advantage of fast searching optimization of IGA and the advantage of not depending on controlled plant of fuzzy neural network controller. This method uses immune genetic algorithm to search the optimal mean, the optimal standard deviation and the optimal weights that connect membership layer and rule layer. Simulation and experimental results verified the effectiveness of the method. The results show that this method has good control effect on both system regulating and set-point following. For AC system in practice, this method has quite good disturbance resistance and strong robustness, and both dynamic and steady performance were improved evidently." @default.
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- W2379452078 date "2005-01-01" @default.
- W2379452078 modified "2023-09-23" @default.
- W2379452078 title "Application of immune genetic algorithm based fuzzy neural network in AC servo system" @default.
- W2379452078 hasPublicationYear "2005" @default.
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