Control and Learning by the State Space Model: Experimental Findings
This is the second of a two part presentation of a model for motor control and learning. The model was implemented using a small computer and the MIT -Scheinman manipulator. Experiments were conducted which demonstrate the controller's ability to learn new movements, adapt to mechanical...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/6273 |