TY - GEN
T1 - Adaptive dynamic programming as a theory of sensorimotor control
AU - Jiang, Yu
AU - Jiang, Zhong Ping
PY - 2012
Y1 - 2012
N2 - 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 Itô 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.
AB - 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 Itô 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.
UR - http://www.scopus.com/inward/record.url?scp=84875539810&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875539810&partnerID=8YFLogxK
U2 - 10.1109/SPMB.2012.6469455
DO - 10.1109/SPMB.2012.6469455
M3 - Conference contribution
AN - SCOPUS:84875539810
SN - 9781467356664
T3 - 2012 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2012
BT - 2012 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2012
T2 - 2012 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2012
Y2 - 1 December 2012 through 1 December 2012
ER -