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Journal Article

Modeling Human Multichannel Perception and Control Using Linear Time-Invariant Models

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Nieuwenhuizen,  FM
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://arc.aiaa.org/doi/10.2514/1.32307
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Citation

Nieuwenhuizen, F., Zaal, P., Mulder, M., van Paassen, M., & Mulder, J. (2008). Modeling Human Multichannel Perception and Control Using Linear Time-Invariant Models. Journal of Guidance, Control, and Dynamics, 31(4), 999-1013. doi:10.2514/1.32307.


Cite as: https://hdl.handle.net/21.11116/0000-0003-302D-5
Abstract
This paper introduces a two-step identification method of human multichannel perception and control. In the first step, frequency response functions are identified using linear time-invariant models. The analytical predictions of bias and variance in the estimated frequency response functions are validated using Monte Carlo simulations of a closed-loop control task and contrasted to a conventional method using Fourier coefficients. For both methods, the analytical predictions are reliable, but the linear time-invariant method has lower bias and variance than Fourier coefficients. It is further shown that the linear time-invariant method is more robust to higher levels of pilot remnant. Finally, both methods were successfully applied to experimental data from closed-loop control tasks with pilots.
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