Adaptive Dynamic Programming as a Theory of Sensorimotor control

被引：0
|
作者：
Jiang, Yu [1 ]
Jiang, Zhong-Ping [1 ]
机构：
[1] NYU, Control & Networks Lab, Dept Elect & Comp Engn, Polytech Inst, Brooklyn, NY 11201 USA
来源：
2012 IEEE SIGNAL PROCESSING IN MEDICINE AND BIOLOGY SYMPOSIUM (SPMB) | 2012年
关键词：
LINEAR-SYSTEMS; MOTOR; MOVEMENTS;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper studies the control mechanism in human arm movements from a perspective of approximate/adaptive dynamic programming (ADP). The control scheme is developed by incorporating Ito calculus with the ADP method for continuous-time stochastic linear systems. An online learning technique is presented to find a robust optimal control policy without knowing the system dynamics. Finally, the proposed method is applied to a single-joint movement control problem and is validated by computer simulations.
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页数：4
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