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- W1864552015 abstract "For a class of continuous-time nonlinear systems, a neural network-based controller which feedback linearizes the system is presented. For an unknown, state-feedback linearizable system, the controller achieves tracking performance and the semi-globally uniformly ultimately boundedness of the closed-loop signals is shown in the sense of Lyaponov. Modified Hebbian learning rules are used for online learning of ideal neural network weights. No off-line learning phase for NN is needed and initialization of the network weights is straightforward. >" @default.
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- W1864552015 date "2002-12-17" @default.
- W1864552015 modified "2023-09-23" @default.
- W1864552015 title "A neural network controller for feedback linearization" @default.
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- W1864552015 doi "https://doi.org/10.1109/cdc.1994.411516" @default.
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