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Adjusting aggressiveness of Depth-of-Hypnosis PID control by MPC-based feedforward

Paolino, Nicola ; Norlund, Frida LU orcid ; Schiavo, Michele ; Visioli, Antonio and Soltesz, Kristian LU orcid (2025)
Abstract
In this paper we propose a technique to enhance the performance of a Proportional-Integral-Derivative (PID)-based control structure for Depth-of-Hypnosis control in total intravenous anesthesia when set-point changes are required during the maintenance phase. In particular, the PID controller, tuned for disturbance rejection, is integrated with a feedforward action based on Model Predictive Control (MPC). A tuning parameter determines the aggressiveness of the controller, thus allowing the anesthesiologist to select the most appropriate transient response depending on the kind of patient and of surgery. Simulation results show that the method is useful in providing an effective tool for the anesthesiologist to interact with the control... (More)
In this paper we propose a technique to enhance the performance of a Proportional-Integral-Derivative (PID)-based control structure for Depth-of-Hypnosis control in total intravenous anesthesia when set-point changes are required during the maintenance phase. In particular, the PID controller, tuned for disturbance rejection, is integrated with a feedforward action based on Model Predictive Control (MPC). A tuning parameter determines the aggressiveness of the controller, thus allowing the anesthesiologist to select the most appropriate transient response depending on the kind of patient and of surgery. Simulation results show that the method is useful in providing an effective tool for the anesthesiologist to interact with the control system. (Less)
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author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
The 2025 American Control Conference (ACC)
project
Hemodynamic Stabilization
language
English
LU publication?
yes
id
37311f3d-da4a-4100-8d07-70d1691e1323
date added to LUP
2025-02-15 09:19:53
date last changed
2025-09-03 09:52:07
@inproceedings{37311f3d-da4a-4100-8d07-70d1691e1323,
  abstract     = {{In this paper we propose a technique to enhance the performance of a Proportional-Integral-Derivative (PID)-based control structure for Depth-of-Hypnosis control in total intravenous anesthesia when set-point changes are required during the maintenance phase. In particular, the PID controller, tuned for disturbance rejection, is integrated with a feedforward action based on Model Predictive Control (MPC). A tuning parameter determines the aggressiveness of the controller, thus allowing the anesthesiologist to select the most appropriate transient response depending on the kind of patient and of surgery. Simulation results show that the method is useful in providing an effective tool for the anesthesiologist to interact with the control system.}},
  author       = {{Paolino, Nicola and Norlund, Frida and Schiavo, Michele and Visioli, Antonio and Soltesz, Kristian}},
  booktitle    = {{The 2025 American Control Conference (ACC)}},
  language     = {{eng}},
  title        = {{Adjusting aggressiveness of Depth-of-Hypnosis PID control by MPC-based feedforward}},
  url          = {{https://lup.lub.lu.se/search/files/210185535/ACC25.pdf}},
  year         = {{2025}},
}