Modeling Human Open-Loop Tracking Behavior

Abstract

A nonlinear generalization of the Adaptive Model Theory, nAMT, is compared with human open-loop tracking data across the same range of conditions. The resulting simulations produced effects that mirrored the closed- and open-loop characteristics of the experimental response trajectories. This supports the use of an internal feedback loop for the inversion of external systems in the nAMT model. Other control-systems models (both AMT and feedback-error learning) were unable to reproduce the observed disparity between closed- and open-loop results without fundamental modification. A low internal feedback loop-gain, incorporating a substantial derivative component, caused this effect. This low gain produced acceptable performance due to the relatively low target bandwidth used in the study, allowing the feedback control component to function. Maintenance of the loop-gain at the lowest possible levels is thought to maximize the internal stability of the inverse. The simulation work confirmed that the nAMT model is capable of reproducing human behavior under a wide range of conditions.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412110

Entities

People

  • Harsha R. Sirisena
  • John H. Andreae
  • Paul R. Davidson
  • Richard D. Jones

Organizations

  • University of Canterbury

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Bandwidth
  • Brain
  • Control Systems
  • Electrical Engineering
  • Engineering
  • Errors
  • Frequency
  • Gain
  • Health Services
  • Linear Systems
  • Model Theory
  • Neural Networks
  • New Zealand
  • Nonlinear Systems
  • Standards
  • Transfer Functions

Readers

  • Computational Modeling and Simulation
  • Mathematics or Statistics
  • Robotics and Automation.