Adaptive Control of Depth of Anesthesia using a Fractional Order Gradient Based Adaptation Mechanism

  • Maryam Boroujerdi Alavi Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran.
  • Mohammad Tabatabaei Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran
Keywords: Model Reference Adaptive Controller, Fractional-Order Adaptation Mechanism, Gradient Based Adaptation Mechanism, Depth of Anesthesia

Abstract

In this paper, a model reference adaptive controller (MRAC) with a RST control structure is employed to control the depth of the anesthesia. The polynomial coefficients of the RST controller are adjusted according to a fractional order normalized gradient based adaptation mechanism. The propofol infusion rate and the Bispectral Index (BIS) are considered as the system input and output, respectively. The propofol distribution in the patient model is described with a Pharmacokinetic-Pharmacodynamic (PK-PD) model. The PK-PD model parameters depend on physical specifications of the patient like age, weight, and gender. The proposed MRAC is employed to reach the desired BIS  in the presence of disturbance and the measurement noise for different patients. Simulation results demonstrate the effectiveness of the proposed method.

References

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Published
2018-03-11
How to Cite
Boroujerdi Alavi, M., & Tabatabaei, M. (2018). Adaptive Control of Depth of Anesthesia using a Fractional Order Gradient Based Adaptation Mechanism. Majlesi Journal of Electrical Engineering, 13(1), 79-84. Retrieved from http://mjee.iaumajlesi.ac.ir/index/index.php/ee/article/view/2556
Section
Articles