An optimal control model of human response part I: Theory and validation

Authors:
D. L. Kleinman;S. Baron;W. H. Levison
Affiliations:
-;-;-
Venue:
Automatica (Journal of IFAC)
Year:
1970

Citing 1
Cited 6

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Extrapolation, Interpolation, and Smoothing of Stationary Time Series

Predictive modeling of human operators using parametric and neuro-fuzzy models by means of computer-based identification experiment

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Identification of a modified optimal control model for the human operator

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Paper: Human system interface concerns in support system design

Automatica (Journal of IFAC)
Brief A fixed-order optimal control model of human operator response

Automatica (Journal of IFAC)
An optimal control model of human response part II: Prediction of human performance in a complex task

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A control theoretic model for piloted approach to landing

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Abstract

Application of optimal control and estimation theory is made to a wide class of problems in manual control. The situation considered is that for which the dynamical system being tracked is linear and is perturbed by an external white noise input. By assuming that the human behaves ''optimally'' in some sense, subject to his inherent psychophysical limitations, a quantitative model is developed for the response characteristics of the human operator. The resultant suboptimal model can be used to predict task performance, measured human controller describing functions, remnant and power spectra. The model is described in detail and is used to predict experimentally measured quantities for three simple, but basic, compensatory tracking tasks. In a companion paper the model is applied to study a complex VTOL hovering task.