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• W2477432816 abstract "The objective of the paper is to show the results of the practical implementation of a neural network tracking controller on a single flexible link and compare its performance to that of PD and PID standard controllers. The NN controller is composed of an outer PD tracking loop, a singular perturbation inner loop for stabilization of the fast flexible mode dynamics, and a neural network inner loop used to feedback linearize the slow pointing dynamics. No off-line training or learning is needed for the NN. It is shown that the tracking performance of the NN controller is far better than that of the PD or PID standard controllers. An extra friction term was added in the tests to demonstrate the ability of the NN to learn unmodeled nonlinear dynamics." @default.
• W2477432816 created "2016-08-23" @default.
• W2477432816 creator A5016137188 @default.
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• W2477432816 date "1997-01-01" @default.
• W2477432816 modified "2023-09-28" @default.
• W2477432816 title "Implementation of a neural net tracking controller for a single flexible link: comparison with PD and PID controllers" @default.
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• W2477432816 doi "https://doi.org/10.1109/acc.1997.611882" @default.
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