Closed-loop control of anesthesia: Survey on actual trends, challenges and perspectives

M Ghita, M Neckebroek, C Muresan, D Copot - Ieee Access, 2020 - ieeexplore.ieee.org
Automation empowers self-sustainable adaptive processes and personalized services in
many industries. The implementation of the integrated healthcare paradigm built on Health …

Physiological closed-loop control (PCLC) systems: Review of a modern frontier in automation

MJ Khodaei, N Candelino, A Mehrvarz, N Jalili - Ieee Access, 2020 - ieeexplore.ieee.org
Over the past decade, there has been an unprecedented international focus on improved
quality and availability of medical care, which has reignited interest in clinical automation …

A robust model predictive control framework for the regulation of anesthesia process with Propofol

S Ntouskas, H Sarimveis - Optimal Control Applications and …, 2021 - Wiley Online Library
In this work, we present a robust Model Predictive Control (MPC) strategy based on linear
matrix inequalities (LMIs) for the intravenous administration of Propofol, a drug which is used …

An adaptive multi-critic neuro-fuzzy control framework for intravenous anesthesia administration

MJ Khodaei, A Mehrvarz, N Jalili - IFAC-PapersOnLine, 2019 - Elsevier
Abstract Development of closed-loop control strategies for drug infusion and delivery is one
of the most recent efforts of control engineers and clinicians. This can be used especially in …

[PDF][PDF] A Comprehensive Review on Automated Control of Anesthesia: Recent Methods, Challenges and Future Trends

A TOMA - Wasit Journal for Pure sciences, 2023 - iasj.net
The safe and personalized administration of anesthetic drugs is a significant concern in
clinical practice, and automated control of anesthesia can address this issue by reducing …

Real-time Projected Gradient-based Nonlinear Model Predictive Control with an Application to Anesthesia Control

S Hall, L Ortmann, M Picallo… - 2022 IEEE 61st …, 2022 - ieeexplore.ieee.org
Medical drug infusion problems pose a combination of challenges such as nonlinearities
from physiological models, model uncertainty due to inter-and intra-patient variability, as …

FPGA implementation framework for explicit hybrid model predictive control

V Patne, D Ingole, D Sonawane - IFAC-PapersOnLine, 2020 - Elsevier
Hybrid systems can be controlled by a Hybrid Model Predictive Control (HMPC) with an
accurate prediction model and proper formulation. In the real-time evolution of HMPC, an …

[PDF][PDF] Ανάπτυξη καινοτόμων μεθόδων προβλεπτικού ελέγχου με έμφαση στη βελτιστοποίηση στρατηγικών χορήγησης φαρμάκου

Σ Ντούσκας - 2021 - dspace.lib.ntua.gr
Περίληψη Ο σχεδιασ ός εθοδολογιών χορήγησης φαρ άκων πορεί να θεωρηθεί ως ένα
πρόβληα ελέγχου στο οποίο οι ρυθ ιζό ενες εταβλητές είναι οι συγκεντρώσεις των φαρ άκων …

Hybrid model predictive control of a nonlinear three-tank system based on the proposed compact form of piecewise affine model

M Bitarafan, A Ramezani - Journal of Control, 2022 - joc.kntu.ac.ir
In this paper, a predictive control based on the proposed hybrid model is designed to control
the fluid height in a three-tank system with nonlinear dynamics whose operating mode …

[图书][B] Numerical Methods for Decision-Making in Control from Hybrid Systems to Formal Specifications

D Frick - 2018 - research-collection.ethz.ch
In control and planning, we want to actuate physical systems in order minimize some error or
to achieve a specified task. For many applications, this requires a combination of continuous …