INTEC   05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Discrete-time switching MPC with applications to mitigate resistance in viral infections
Autor/es:
ANDERSON, ALEJANDRO; HERNANDEZ VARGAS, ESTEBAN ABELARDO; GONZÁLEZ, ALEJANDRO HERNÁN; FERRAMOSCA, ANTONIO
Lugar:
Berlin
Reunión:
Congreso; 21th IFAC World Congress; 2020
Institución organizadora:
IFAC
Resumen:
Many engineering applications can be described as switched linear systems, in which themanipulated control action is the time-dependent switching signal. In such a case, the control strategymust select a linear autonomous system at each time step, among a finite number of them. Even whenthis selection can be done by solving a Dynamic Programming (DP) problem, the implementation ofsuch a solution is often difficult and state/control constraints cannot be explicitly accounted for. In thispaper a new set-based Model Predictive Control (MPC) strategy is presented to handle switched linearsystems in a tractable form. The optimization problem at the core of the MPC formulation consists inan easy-to-solve mixed-integer optimization problem, whose solution is applied in a receding horizonway. The medical application of viral mutation and its respective drug resistance is addressed to acuteand chronic infections. The objective is to attenuate the effect of the mutation on the viral load, and thenumerical results suggested that the proposed strategy outperform the schedule for available treatments.