Brief A fixed-order optimal control model of human operator response

Authors:
David B. Doman;Mark R. Anderson
Affiliations:
Air Force Research Laboratory, Air Vehicles Directorate, WPAFB, OH 45433-7531, USA;Department of Aerospace and Ocean Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0203, USA
Venue:
Automatica (Journal of IFAC)
Year:
2000

Citing 4
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Projection methods for order reduction of optimal human operator models

Projection methods for order reduction of optimal human operator models
Paper: Human dynamics in man-machine systems

Automatica (Journal of IFAC)
An optimal control model of human response part I: Theory and validation

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

Automatica (Journal of IFAC)

Neuro-fuzzy controller design via modeling human operator actions

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Predictive modeling of human operators using parametric and neuro-fuzzy models by means of computer-based identification experiment

Engineering Applications of Artificial Intelligence
An optimal-control model of vision-gait interaction in a virtual walkway

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing

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Abstract

Human operator models developed using optimal control theory are typically complicated and over-parameterized, even for simple controlled elements. The optimal projection (OP) synthesis technique is applied to a modified version of the optimal control model (OCM) of human operator dynamics. The result is a generalized formulation of a fixed-order modified optimal control model (FOMOCM) of the human operator and a computer algorithm that generates a FOMOCM when one exists. The FOMOCM forms a much needed bridge between high-order OCMs and traditional classical models.