Tohidi, ShahabYıldız, Yıldıray2020-01-292020-01-292019-06http://hdl.handle.net/11693/52909Date of Conference: 25-28 June 2019Conference name: 18th European Control Conference (ECC), 2019Inspired 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.EnglishClosed loop systemsControl system synthesisDelaysLyapunov methodsModel reference adaptive control systemsRobust controlStability criteriaUncertain systemsAdaptive human pilot model for uncertain systemsConference Paper10.23919/ECC.2019.8795847