A Control Theoretical Adaptive Human Pilot Model: Theory and Experimental Validation

Seyed Shahabaldin Tohidi, Yildiray Yildiz

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

This article proposes an adaptive human pilot model that is able to mimic the crossover model in the presence of uncertainties. The proposed structure is based on the model reference adaptive control, and the adaptive laws are obtained using the Lyapunov-Krasovskii stability criteria. The model can be employed for human-in-the-loop stability and performance analyses incorporating different types of controllers and plant types. For validation purposes, an experimental setup is employed to collect data and a statistical analysis is conducted to measure the predictive power of the pilot model.

Original languageEnglish
JournalIEEE Transactions on Control Systems Technology
Number of pages13
ISSN1063-6536
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Adaptation models
  • Adaptive control
  • Analytical models
  • Decision making
  • Mathematical models
  • Neuromuscular
  • pilot
  • Predictive models
  • Uncertainty

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