Identification of robotic manipulators' inverse dynamics coefficients via model-based adaptive networks
The values of a given manipulator's dynamics coefficients need to be accurately identified in order to employ model-based algorithms in the control of its motion. This thesis details the development of a novel form of adaptive network which is capable of accurately learning the coefficients of...
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Format: | Default Thesis |
Published: |
1998
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Online Access: | https://hdl.handle.net/2134/32803 |
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