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Luca Merigo

Researcher at University of Brescia

Publications -  17
Citations -  178

Luca Merigo is an academic researcher from University of Brescia. The author has contributed to research in topics: PID controller & Control theory. The author has an hindex of 6, co-authored 17 publications receiving 100 citations.

Papers
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Event-Based control of depth of hypnosis in anesthesia.

TL;DR: The use of event based automatic control in anesthesia yields a fast induction phase with bounded overshoot and an acceptable disturbance rejection and effectively mimics the behavior of the anesthesiologist by providing a significant decline of the total variation of the manipulated variable.
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Optimized PID control of propofol and remifentanil coadministration for general anesthesia

TL;DR: A closed-loop control system for the control of the depth of hypnosis in anesthesia by using propofol-remifentanil coadministration and the Bispectral Index as feedback signal is proposed.
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A model-based control scheme for depth of hypnosis in anesthesia

TL;DR: A model-based scheme to control the depth of hypnosis in anesthesia that uses the BIS signal as controlled variable and exploits the propofol pharmacokinetics/pharmacodynamics model of the patient so that the estimated effect-site concentration is used as a feedback signal for a standard PID controller.
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Performance evaluation of an optimized PID controller for propofol and remifentanil coadministration in general anesthesia

TL;DR: In this paper, a PID control scheme for propofol and remifentanil co-administration during general anesthesia is presented, where the bispectral index scale is the only process variable, and the extra degree of freedom in the control architecture is handled by introducing an appropriate ratio between the infusion rates of the two drugs.
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A noise-filtering event generator for PIDPlus controllers

TL;DR: Simulation and experimental results obtained with a laboratory setup demonstrate the effectiveness of the methodology in providing a satisfactory performance related to set-point and load disturbance step responses with a total variation that is significantly reduced with respect to the standard cases.