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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …