Frequency-domain observations on how humans learn to control an unknown dynamic system

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

doi:10.1109/ACC.2015.7170887

Frequency-domain observations on how humans learn to control an unknown dynamic system

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

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

3 Scopus citations

Abstract

This paper presents results from an experiment that is designed to explore the approaches that humans use to learn to control an unknown linear time-invariant dynamic system. In this experiment, 10 subjects interacted with an unknown dynamic system 40 times over a 2-week period. We use subsystem identification to model the control strategies that the subjects employ on each of their 40 trials. In particular, we estimate feedback and feedforward controllers used by each subject on each trial. The controllers identified on the 40th trial suggest that the subjects learned to use the inverse plant dynamics in feedforward. Moreover, the identified feedforward controllers converge to the approximate inverse dynamics in fewer trials (i.e., more quickly) at middle frequencies than at low and high frequencies.

Original language	English
Title of host publication	ACC 2015 - 2015 American Control Conference
Pages	1143-1148
Number of pages	6
ISBN (Electronic)	9781479986842
DOIs	https://doi.org/10.1109/ACC.2015.7170887
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.2015.7170887

Cite this

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title = "Frequency-domain observations on how humans learn to control an unknown dynamic system",

abstract = "This paper presents results from an experiment that is designed to explore the approaches that humans use to learn to control an unknown linear time-invariant dynamic system. In this experiment, 10 subjects interacted with an unknown dynamic system 40 times over a 2-week period. We use subsystem identification to model the control strategies that the subjects employ on each of their 40 trials. In particular, we estimate feedback and feedforward controllers used by each subject on each trial. The controllers identified on the 40th trial suggest that the subjects learned to use the inverse plant dynamics in feedforward. Moreover, the identified feedforward controllers converge to the approximate inverse dynamics in fewer trials (i.e., more quickly) at middle frequencies than at low and high frequencies.",

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

note = "Publisher Copyright: {\textcopyright} 2015 American Automatic Control Council.; 2015 American Control Conference, ACC 2015 ; Conference date: 01-07-2015 Through 03-07-2015",

year = "2015",

month = jul,

day = "28",

doi = "10.1109/ACC.2015.7170887",

language = "English",

series = "Proceedings of the American Control Conference",

pages = "1143--1148",

booktitle = "ACC 2015 - 2015 American Control Conference",

}

Zhang, X, Wang, S, Seigler, TM & Hoagg, JB 2015, Frequency-domain observations on how humans learn to control an unknown dynamic system. in ACC 2015 - 2015 American Control Conference., 7170887, Proceedings of the American Control Conference, vol. 2015-July, pp. 1143-1148, 2015 American Control Conference, ACC 2015, Chicago, United States, 7/1/15. https://doi.org/10.1109/ACC.2015.7170887

Frequency-domain observations on how humans learn to control an unknown dynamic system. / Zhang, Xingye; Wang, Shaoqian; Seigler, T. M. et al.
ACC 2015 - 2015 American Control Conference. 2015. p. 1143-1148 7170887 (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 presents results from an experiment that is designed to explore the approaches that humans use to learn to control an unknown linear time-invariant dynamic system. In this experiment, 10 subjects interacted with an unknown dynamic system 40 times over a 2-week period. We use subsystem identification to model the control strategies that the subjects employ on each of their 40 trials. In particular, we estimate feedback and feedforward controllers used by each subject on each trial. The controllers identified on the 40th trial suggest that the subjects learned to use the inverse plant dynamics in feedforward. Moreover, the identified feedforward controllers converge to the approximate inverse dynamics in fewer trials (i.e., more quickly) at middle frequencies than at low and high frequencies.

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Y2 - 1 July 2015 through 3 July 2015

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Frequency-domain observations on how humans learn to control an unknown dynamic system

Abstract

Publication series

Conference

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ASJC Scopus subject areas

Access to Document

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