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

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.

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Roggenkämper, N, Author
Pool, DM1, Author           
Drop, FM1, 2, 3, 4, Author           
van Paassen, MM, Author
Mulder, M, Author
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Project group: Motion Perception & Simulation, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528705              
4Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528701              

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 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 ...

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 Dates: 2016-06
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.2514/6.2016-4299
BibTex Citekey: RoggenkamperPDvM2016
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Title: AIAA Modeling and Simulation Technologies Conference: Held at the AIAA Aviation Forum 2016
Place of Event: Washington, DC, USA
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Title: AIAA Modeling and Simulation Technologies Conference: Held at the AIAA Aviation Forum 2016
Source Genre: Proceedings
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Publ. Info: Red Hook, NY, USA : Curran
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 787 - 803 Identifier: ISBN: 978-1-5108-2734-9