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Algorithms 2018, 11(7), 106;

Fractional-Order Closed-Loop Model Reference Adaptive Control for Anesthesia

Engineering Graduate Program, Universidad Nacional Autonoma de Mexico (UNAM), 04510 Mexico City, Mexico
Engineering Faculty, Universidad Nacional Autonoma de Mexico (UNAM), 04510 Mexico City, Mexico
Author to whom correspondence should be addressed.
Received: 15 May 2018 / Revised: 7 July 2018 / Accepted: 12 July 2018 / Published: 14 July 2018


The design of a fractional-order closed-loop model reference adaptive control (FOCMRAC) for anesthesia based on a fractional-order model (FOM) is proposed in the paper. This proposed model gets around many difficulties, namely, unknown parameters, lack of state measurement, inter and intra-patient variability, and variable time-delay, encountered in controller designs based on the PK/PD model commonly used for control of anesthesia, and allows to design a simple adaptive controller based on the Lyapunov analysis. Simulations illustrate the effectiveness and robustness of the proposed control. View Full-Text
Keywords: anesthesia; fractional systems; adaptive control anesthesia; fractional systems; adaptive control

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Navarro-Guerrero, G.; Tang, Y. Fractional-Order Closed-Loop Model Reference Adaptive Control for Anesthesia. Algorithms 2018, 11, 106.

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