2018
DOI: 10.1109/tcyb.2016.2602322
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Objective Model Selection for Identifying the Human Feedforward Response in Manual Control

Abstract: Abstract-Realistic manual control tasks typically involve predictable target signals and random disturbances. The human controller (HC) is hypothesized to use a feedforward control strategy for target-following, in addition to feedback control for disturbance-rejection. Little is known about human feedforward control, partly because common system identification methods have difficulty in identifying whether, and (if so) how, the HC applies a feedforward strategy. In this paper an identification procedure is pr… Show more

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Cited by 13 publications
(28 citation statements)
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“…Longer preview times may trigger the near-viewpoint response, as the HC's knowledge of the target signal improves. With 1 s of preview, most subjects were found to apply a near-viewpoint response in SI tasks, but not in DI tasks [14], as accurate feedforward control with these unstable dynamics is difficult [24], [25]. Although not all subtleties of the near-viewpoint response are yet understood, its dynamics appear to approximate a simple differentiator [14]:…”
Section: The Control Taskmentioning
confidence: 99%
“…Longer preview times may trigger the near-viewpoint response, as the HC's knowledge of the target signal improves. With 1 s of preview, most subjects were found to apply a near-viewpoint response in SI tasks, but not in DI tasks [14], as accurate feedforward control with these unstable dynamics is difficult [24], [25]. Although not all subtleties of the near-viewpoint response are yet understood, its dynamics appear to approximate a simple differentiator [14]:…”
Section: The Control Taskmentioning
confidence: 99%
“…Note that averaging might blur distinctive features of feedforward, see [14]. Here, we insist on averaging over five runs to be consistent with the ARX method [18].…”
Section: ) Procedurementioning
confidence: 97%
“…2) Black-box ARX Identification: The control behavior during the ramp and parabola conditions are identified by means of the black-box ARX identification method of [18]. It was developed to objectively identify if and how the HC utilizes a feedforward and/or feedback control strategy, without making any prior assumptions concerning the HC dynamics.…”
Section: B Dependent Measures 1) Nonparametric Measuresmentioning
confidence: 99%
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