Adaptive human pilot model for uncertain systems
18th European Control Conference (ECC), 2019
2938 - 2943
Item Usage Stats
MetadataShow full item record
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
Showing items related by title, author, creator and subject.
Babaei, N.; Salamcı, M. U.; Karakurt, Ahmet Hakan (ASME, 2017)The paper presents an approach to the Model Reference Adaptive Control (MRAC) design for nonlinear dynamical systems. A nonlinear reference system is considered such that its response is designed to be stable via Successive ...
Ahmed, S.; Özbay, H. (Elsevier B.V., 2016)A control algorithm based on switching robust controllers is presented for a Linear Parameter Varying (LPV) time-delay system modeling automatic infusion of vasodilator drug to regulate postsurgical hypertension. The system ...
Yu, R.; Ocali, O; Sezer, E. S. (IEEE, 1993)Robust adaptive sampled-data control of a class of linear systems under structured perturbations is considered. The controller is a time-varying state-feedback law having a fixed structure, containing an adjustable parameter, ...