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

Producción científica: Conference contribution › revisión exhaustiva

8 Citas (Scopus)

Resumen

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.

Idioma original	English
Título de la publicación alojada	ACC 2015 - 2015 American Control Conference
Páginas	471-476
Número de páginas	6
ISBN (versión digital)	9781479986842
DOI	https://doi.org/10.1109/ACC.2015.7170780
Estado	Published - jul 28 2015
Evento	2015 American Control Conference, ACC 2015 - Chicago, United States Duración: jul 1 2015 → jul 3 2015

Serie de la publicación

Nombre	Proceedings of the American Control Conference
Volumen	2015-July
ISSN (versión impresa)	0743-1619

Conference

Conference	2015 American Control Conference, ACC 2015
País/Territorio	United States
Ciudad	Chicago
Período	7/1/15 → 7/3/15

Nota bibliográfica

Publisher Copyright:
© 2015 American Automatic Control Council.

Financiación

Financiadores	Número del financiador
National Science Foundation Arctic Social Science Program	1405257

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ACC.2015.7170780

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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.\}",

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.2015.7170780",

language = "English",

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Zhang, X, Seigler, TM & Hoagg, JB 2015, Modeling the control strategies that humans use to control nonminimum-phase systems. En 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

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AU - Seigler, T. M.

AU - Hoagg, Jesse B.

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N2 - 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.

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

Resumen

Serie de la publicación

Conference

Nota bibliográfica

Financiación

ASJC Scopus subject areas

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