Adaptive dynamic programming as a theory of sensorimotor control

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication2012 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2012
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2012 - New York, NY, United States
Duration: Dec 1 2012Dec 1 2012

Publication series

Name2012 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2012

Other

Other2012 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2012
CountryUnited States
CityNew York, NY
Period12/1/1212/1/12

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ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering

Cite this

Jiang, Y., & Jiang, Z. P. (2012). Adaptive dynamic programming as a theory of sensorimotor control. In 2012 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2012 [6469455] (2012 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2012). https://doi.org/10.1109/SPMB.2012.6469455