Adaptive Human Model In The Presence of Plant Uncertainty

Adaptive Human Model In The Presence of Plant Uncertainty

In this research, an adaptive human model is proposed which mimics the crossover model despite input bandwidth deviations and plant uncertainties. The proposed human pilot model structure is based on the model reference adaptive control, and the adaptive laws are obtained using the Lyapunov-Krasovskii stability criteria applied to the overall closed loop system including the human pilot, considering time delay, and the plant. The proposed model can be employed for human-in-the-loop stability and performance analyses with different controllers and plant types. Model validation is done by comparing the adaptive human model and participants’ data. A statistical analysis, consists of confidence interval calculation, hypothesis test and power analysis, is conducted to measure the predictive power of the proposed model. You can access the participants’ data by clicking here.


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