Objective Model Selection for Identifying the Human Feedforward Response in Manual Control.

IEEE Transactions on Cybernetics(2018)

Cited 15|Views36
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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 whethe...
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Key words
Feedforward neural networks,Computational modeling,Complexity theory,Human factors,Data models,Aircraft,Object recognition
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