Adaptive Dynamic Programming for Human Postural Balance Control
Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017•Springer
This paper provides a basis for studying human postural balance control about upright
stance using adaptive dynamic programming (ADP) theory. Previous models of human
sensorimotor control rely on a priori knowledge of system dynamics. Here, we provide an
alternative framework based on the ADP theory. The main advantage of this new framework
is that the system model is no longer required, and an adaptive optimal controller is obtained
directly from input and state data. We apply this theory to simulate human balance behavior …
stance using adaptive dynamic programming (ADP) theory. Previous models of human
sensorimotor control rely on a priori knowledge of system dynamics. Here, we provide an
alternative framework based on the ADP theory. The main advantage of this new framework
is that the system model is no longer required, and an adaptive optimal controller is obtained
directly from input and state data. We apply this theory to simulate human balance behavior …
Abstract
This paper provides a basis for studying human postural balance control about upright stance using adaptive dynamic programming (ADP) theory. Previous models of human sensorimotor control rely on a priori knowledge of system dynamics. Here, we provide an alternative framework based on the ADP theory. The main advantage of this new framework is that the system model is no longer required, and an adaptive optimal controller is obtained directly from input and state data. We apply this theory to simulate human balance behavior, and the obtained results are consistent with the experiment data presented in the past literature.
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