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Objective ARX Model Order Selection for Multi-Channel Human Operator Identification

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Pool,  DM
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84423

Drop,  FM
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Motion Perception & Simulation, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Roggenkämper, N., Pool, D., Drop, F., van Paassen, M., & Mulder, M. (2016). Objective ARX Model Order Selection for Multi-Channel Human Operator Identification. In AIAA Modeling and Simulation Technologies Conference: Held at the AIAA Aviation Forum 2016 (pp. 787-803). Red Hook, NY, USA: Curran.


Cite as: http://hdl.handle.net/21.11116/0000-0000-7A8C-A
Abstract
Fundamental research carried out by McRuer et al. 1, 2 in the 1960s still forms the basis for the mathematical representation of pilot-vehicle systems today. Expressing human skills in the same control engineering terms as the vehicle to be controlled enables scientists to quantitatively evaluate human operators' manual control behavior. Decades of research have not only proven the validity of functional models as accurate descriptions of human tracking behavior during compensatory tracking tasks, 2–5 but also the suitability of ...