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

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 to select an autonomous system - at each time step - among a given finite f...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Anderson, A, González, Alejandro, Ferramosca, Antonio, Hernandez - Vargas, E
Formato: Artículo publisherVersion
Lenguaje:Inglés
Publicado: 2021
Materias:
Model Predictive Control, Switched Systems, Stability, Biomedical Treatment, Resistance.
Acceso en línea:http://hdl.handle.net/11336/110283
http://hdl.handle.net/20.500.12272/4872
Aporte de:
RIA - Repositorio Institucional Abierto (UTN) de Universidad Tecnológica Nacional
id I68-R174-20.500.12272-4872
record_format dspace
institution Universidad Tecnológica Nacional
institution_str I-68
repository_str R-174
collection RIA - Repositorio Institucional Abierto (UTN)
language Inglés
topic Model Predictive Control, Switched Systems, Stability, Biomedical Treatment, Resistance.
spellingShingle Model Predictive Control, Switched Systems, Stability, Biomedical Treatment, Resistance.
Anderson, A
González, Alejandro
Ferramosca, Antonio
Hernandez - Vargas, E
Discrete-time MPC for switched systems with applications to biomedical problems
topic_facet Model Predictive Control, Switched Systems, Stability, Biomedical Treatment, Resistance.
description 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 to select an autonomous system - at each time step - among a given finite family. Even when this selection can be done by solving a Dynamic Programming (DP) problem, such a solution is often difficult to apply, and state/control constraints cannot be explicitly considered. In this work a new set-based Model Predictive Control (MPC) strategy is proposed to handle switched systems in a tractable form. The optimization problem at the core of theMPC formulation consists in an easy-to-solve mixed-integer optimization problem, whose solution is applied in a receding horizon way. Two biomedical applications are simulated to test the controller: (i) the drug schedule to attenuate the effect of viral mutation and drugs resistance on the viral load, and (ii) the drug schedule for Triple Negative breast cancer treatment. The numerical results suggest that the proposed strategy outperform the schedule for available treatments.
format Artículo
publisherVersion
author Anderson, A
González, Alejandro
Ferramosca, Antonio
Hernandez - Vargas, E
author_facet Anderson, A
González, Alejandro
Ferramosca, Antonio
Hernandez - Vargas, E
author_sort Anderson, A
title Discrete-time MPC for switched systems with applications to biomedical problems
title_short Discrete-time MPC for switched systems with applications to biomedical problems
title_full Discrete-time MPC for switched systems with applications to biomedical problems
title_fullStr Discrete-time MPC for switched systems with applications to biomedical problems
title_full_unstemmed Discrete-time MPC for switched systems with applications to biomedical problems
title_sort discrete-time mpc for switched systems with applications to biomedical problems
publishDate 2021
url http://hdl.handle.net/11336/110283
http://hdl.handle.net/20.500.12272/4872
work_keys_str_mv AT andersona discretetimempcforswitchedsystemswithapplicationstobiomedicalproblems
AT gonzalezalejandro discretetimempcforswitchedsystemswithapplicationstobiomedicalproblems
AT ferramoscaantonio discretetimempcforswitchedsystemswithapplicationstobiomedicalproblems
AT hernandezvargase discretetimempcforswitchedsystemswithapplicationstobiomedicalproblems
bdutipo_str Repositorios
_version_ 1764820552250294275

Ejemplares similares