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

Xingye Zhang; T. M. Seigler; Jesse B. Hoagg

doi:10.1109/ACC.2015.7170780

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

Xingye Zhang, T. M. Seigler, Jesse B. Hoagg

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	ACC 2015 - 2015 American Control Conference
Pages	471-476
Number of pages	6
ISBN (Electronic)	9781479986842
DOIs	https://doi.org/10.1109/ACC.2015.7170780
State	Published - Jul 28 2015
Event	2015 American Control Conference, ACC 2015 - Chicago, United States Duration: Jul 1 2015 → Jul 3 2015

Publication series

Name	Proceedings of the American Control Conference
Volume	2015-July
ISSN (Print)	0743-1619

Conference

Conference	2015 American Control Conference, ACC 2015
Country/Territory	United States
City	Chicago
Period	7/1/15 → 7/3/15

Bibliographical note

Publisher Copyright:
© 2015 American Automatic Control Council.

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2015.7170780

Cite this

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title = "Modeling the control strategies that humans use to control nonminimum-phase systems",

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.",

author = "Xingye Zhang and Seigler, {T. M.} and Hoagg, {Jesse B.}",

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year = "2015",

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Zhang, X, Seigler, TM & Hoagg, JB 2015, Modeling the control strategies that humans use to control nonminimum-phase systems. in ACC 2015 - 2015 American Control Conference., 7170780, Proceedings of the American Control Conference, vol. 2015-July, pp. 471-476, 2015 American Control Conference, ACC 2015, Chicago, United States, 7/1/15. https://doi.org/10.1109/ACC.2015.7170780

Modeling the control strategies that humans use to control nonminimum-phase systems. / Zhang, Xingye; Seigler, T. M.; Hoagg, Jesse B.
ACC 2015 - 2015 American Control Conference. 2015. p. 471-476 7170780 (Proceedings of the American Control Conference; Vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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