Characteristics that make dynamic systems difficult for a human to control

S. Alireza Seyyed Mousavi, Xingye Zhang, T. M. Seigler, Jesse B. Hoagg

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

8 Scopus citations


We present results from an experiment in which 55 human subjects each interact with a dynamic system 40 times over a one-week period. The subjects are divided into 5 groups of 11 subjects. Each group interacts with a different system. We use the experimental results to determine characteristics (e.g., system zeros, relative degree, phase lag) that can make systems difficult for a human to control. We use subsystem identification to model the control strategies (feedback and feedforward) that each subject uses during their first and last trials. For each group, the average identified feedforward controller on the last trial approximates the inverse dynamics of the system with which the subjects in that group interacted.

Original languageEnglish
Title of host publication2016 American Control Conference, ACC 2016
Number of pages6
ISBN (Electronic)9781467386821
StatePublished - Jul 28 2016
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: Jul 6 2016Jul 8 2016

Publication series

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


Conference2016 American Control Conference, ACC 2016
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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