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• W2168112677 abstract "A new design approach for adaptive fuzzy logic controller (AFLC) based on neural-net concept is presented in this work. The main ideas of our proposed strategy include: (1) connectionist implementation of fuzzy logic controller (FLC) using a simplified fuzzy inference network (SFIN); (2) initialisation of the AFLC using supervised learning control; and (3) online adaptation of the AFLC using GPC performance index. A nonlinear plant with nonminimum phase characteristics and uncertainties is employed in our simulations. The observed results demonstrate the effectiveness at the presented AFLC." @default.
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• W2168112677 date "2005-08-24" @default.
• W2168112677 modified "2023-09-25" @default.
• W2168112677 title "Adaptive fuzzy neural controller design" @default.
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• W2168112677 doi "https://doi.org/10.1109/acc.1995.532737" @default.
• W2168112677 hasPublicationYear "2005" @default.
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