A State Space Model for Sensorimotor Control and Learning
| dc.date.accessioned | 2004-10-01T20:36:59Z | |
| dc.date.accessioned | 2018-11-24T10:10:36Z | |
| dc.date.available | 2004-10-01T20:36:59Z | |
| dc.date.available | 2018-11-24T10:10:36Z | |
| dc.date.issued | 1976-01-01 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/5789 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/5789 | |
| dc.description.abstract | This is the first of a two-part presentation which deals with certain computer controlled manipulator problems. This first part discusses a model which is designed to address problems of motor control, motor learning, adaptation, and sensorimotor integration. In this section the problems are outlined and a solution is given which makes used of a state space memory and a piece-wise linearization of the equations of motion. A forthcoming companion article will present the results of tests performed on an implementation of the model. | en_US |
| dc.format.extent | 35 p. | en_US |
| dc.format.extent | 2558764 bytes | |
| dc.format.extent | 1806617 bytes | |
| dc.language.iso | en_US | |
| dc.title | A State Space Model for Sensorimotor Control and Learning | en_US |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
| AIM-351.pdf | 1.806Mb | application/pdf | View/ |
| AIM-351.ps | 2.558Mb | application/postscript | View/ |