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• W2151845202 abstract "Modeling friction at low velocities can be viewed as a problem of characterizing the local behavior of a complex nonlinear function. Wavelet theory provides a very powerful framework for localized mapping and learning. Based on space-frequency localization, a model-free methodology to identify and compensate for friction at low velocities using a wavelet basis function network (WBFN) based design is proposed and validated using a hardware example case. The methodology is systematic and uses minimal knowledge of the dynamics which is particularly attractive for a large class of dynamic systems with friction." @default.
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• W2151845202 date "1998-01-01" @default.
• W2151845202 modified "2023-09-28" @default.
• W2151845202 title "Identification of friction at low velocities using wavelet basis function network" @default.
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• W2151845202 doi "https://doi.org/10.1109/acc.1998.707356" @default.
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