Listar por autor "González, Alejandro"

Mostrando ítems 1-5 de 5

  • Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance 

    Abuin, Pablo; Rivadeneira, Pablo; Ferramosca, Antonio; González, Alejandro (2020-08-01)
    This work presents a pulsatile Zone Model Predictive Control (pZMPC) for the control of blood glucose concentration (BGC) in patients with Type 1 Diabetes Mellitus (T1DM). The main novelties of the algorithm – in contrast ...

  • Characterization of SARS-CoV-2 Dynamics in the Host 

    Abuin, Pablo; Anderson, Alejandro; Ferramosca, Antonio; Hernandez - Vargas; González, Alejandro (2020-06-01)
    While many epidemiological models were proposed to understand and handle COVID-19 pandemic, too little has been invested to understand human viral replication and the potential use of novel antivirals to tackle the infection. ...

  • Discrete-time MPC for switched systems with applications to biomedical problems 

    Anderson, A; González, Alejandro; Ferramosca, Antonio; Hernandez - Vargas, E (2020-06-23)
    Switched systems in which the manipulated control action is the time-depending switching signal describe many engineering problems, mainly related to biomedical applications. In such a context, to control the system means ...

  • Impulsive Zone MPC for Type I Diabetic Patients based on a long-term model 

    González, Alejandro; Rivadeneira, Pablo; Ferramosca, Antonio; Magdelaine, Nicolas; Moog, Claude (Ahmad Taher Azar, 2020-02-01)
    In this work the problem of regulating glycemia in type I diabetic patients is studied by means of an impulsive zone model predictive control (impulsive ZMPC) based on a novel long-term glucoseinsulin model. Taking ...

  • Stable impulsive zone model predictive control for type 1 diabetic patients based on a long‐term model 

    González, Alejandro; Rivadeneira, Pablo; Ferramosca, Antonio; Magdelaine, Nicolas; Moog, Claude (2020-07-13)
    In this work, the problem of regulating blood glucose (glycemia) in type I diabetic patients is studied by means of an impulsive zone model predictive control (iZMPC), which bases its predictions on a novel long‐term ...