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    Feedforward Input Generation Based on Neural Network Prediction in Multi Joint Robots1 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2014:;volume( 136 ):;issue: 003:;page 31002
    Author(s): Asensio, Jonathan; Chen, Wenjie; Tomizuka, Masayoshi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Learning feedforward control based on the available dynamic/kinematic system model and sensor information is generally effective for reducing the tracking error for a learned trajectory. For new trajectories, however, the ...
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    DSpace software copyright © 2002-2015  DuraSpace
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