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- W2161833043 abstract "A new type of nonlinear reconfigurable control strategy based on model-following method using radial basis function (RBF) neural networks is presented in this paper. This method can make the outputs of an impaired system track those of reference model accurately without knowing the location and damage degree of failure, and a RBF neural network controller is used to compensate nonlinear dynamics caused by failure; simulation results reveal that this method has good reconfigurable performance and robustness." @default.
- W2161833043 created "2016-06-24" @default.
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- W2161833043 date "2002-11-07" @default.
- W2161833043 modified "2023-09-26" @default.
- W2161833043 title "Nonlinear reconfigurable control based on RBF neural networks" @default.
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- W2161833043 doi "https://doi.org/10.1109/wcica.2000.863385" @default.
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