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

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...

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Veröffentlicht in:IEEE transactions on control systems technology Jg. 30; H. 6; S. 2585 - 2597
Hauptverfasser: Tohidi, Seyed Shahabaldin, Yildiz, Yildiray
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.11.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Adaptive control
control of time-delay systems
crossover model
Decision making
human decision-making
Human performance
Mathematical models
Model reference adaptive control
Neuromuscular
pilot modeling
Predictive models
Stability analysis
Stability criteria
Statistical analysis
Uncertain systems
ISSN:1063-6536, 1558-0865
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1063-6536
1558-0865
DOI:10.1109/TCST.2022.3164237