Modeling the control strategies that humans use to control nonminimum-phase systems

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8 Scopus citations

Abstract

This paper examines the control strategies that humans use to interact with an unknown nonminimum-phase system. We present results from an experiment in which 3 human subjects interact with an unknown nonminimum-phase system 40 times over a 1-week period. We use subsystem identification to model the control strategies that each subject uses during each trial. In particular, we identify feedback and feedforward controllers that model the subjects' control strategies. The identified controllers suggest that the subjects learn to approximate and use the inverse plant dynamics (over a finite frequency range) in feedforward even though the plant is nonminimum phase.

Original languageEnglish
Title of host publicationACC 2015 - 2015 American Control Conference
Pages471-476
Number of pages6
ISBN (Electronic)9781479986842
DOIs
StatePublished - Jul 28 2015
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: Jul 1 2015Jul 3 2015

Publication series

NameProceedings of the American Control Conference
Volume2015-July
ISSN (Print)0743-1619

Conference

Conference2015 American Control Conference, ACC 2015
Country/TerritoryUnited States
CityChicago
Period7/1/157/3/15

Bibliographical note

Publisher Copyright:
© 2015 American Automatic Control Council.

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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