Identification of the human postural control system through stochastic trajectory optimization

Volume: 334, Pages: 108580 - 108580
Published: Mar 1, 2020
Abstract
System identification can be used to obtain a model of the human postural control system from experimental data in which subjects are mechanically perturbed while standing. However, unstable controllers were sometimes found, which obviously do not explain human balance and cannot be applied in control of humanoid robots. Eigenvalue constraints can be used to avoid unstable controllers. However, this method is hard to apply to highly nonlinear...
Paper Details
Title
Identification of the human postural control system through stochastic trajectory optimization
Published Date
Mar 1, 2020
Volume
334
Pages
108580 - 108580
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