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• W2005043759 abstract "A dynamic adaptive learning algorithm based on two fuzzy neural-networks for the control of a partially unknown nonlinear dynamic system is developed in this paper. The proposed fuzzy neural-network controller is composed of a computation controller and a learning controller. The computation controller and a learning controller will control collaboratively for partially unknown nonlinear dynamic system. Formally, the stability of the control system and convergence of the fuzzy neural-network have been proved. The proposed algorithm based on two fuzzy neural-networks can avoid the time-consuming trial-and-error tuning procedure for determining structure and parameters. The simulation experiment shows that the proposed method is feasible, valid and rational." @default.
• W2005043759 created "2016-06-24" @default.
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• W2005043759 date "2014-02-01" @default.
• W2005043759 modified "2023-10-17" @default.
• W2005043759 title "Dynamic adaptive learning algorithm based on two-fuzzy neural-networks" @default.
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• W2005043759 doi "https://doi.org/10.1016/j.neucom.2012.07.048" @default.
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