On the Control Strategies that Humans use to Interact with Linear Systems with Output Nonlinearities

Michael Seigler, Shaoqian Wang, Sajad Koushkbaghi, Jesse Hoagg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper examines the feedforward control strategies that humans use to interact with an unknown nonlinear system. We present results from two different experiments. In the first experiment, 11 human subjects interact with an unknown linear system. In the second experiment, 11 different human subjects interact with the same linear system but with the addition of a static output nonlinearity. We use subsystem identification to identify the feedback and feedforward controllers that model the subjects' control strategies. The identified controllers suggest the subjects use approximate feedforward plant inversion in both experiments. However, plant inversion is less precise for the nonlinear experiment.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Pages3732-3737
Number of pages6
ISBN (Electronic)9781538666500
DOIs
StatePublished - Jul 2 2018
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: Oct 7 2018Oct 10 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/TerritoryJapan
CityMiyazaki
Period10/7/1810/10/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction

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