Adaptive human pilot model for uncertain systems
18th European Control Conference (ECC), 2019
2938 - 2943
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Inspired by humans' ability to adapt to changing environments, this paper proposes an adaptive human model that 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 and the plant. The proposed model can be employed for human-in-the-Ioop stability and performance analyses with different controllers and plant types. A numerical example is used to demonstrate the effectiveness of the presented method.
KeywordsClosed loop systems
Control system synthesis
Model reference adaptive control systems
Published Version (Please cite this version)https://doi.org/10.23919/ECC.2019.8795847
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