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A unified surrogate-based scheme for black-box and preference-based optimization
Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca +1
Black-box and preference-based optimization algorithms are global optimization procedures that aim to find the global solutions of an optimization problem using, respectively, the…
Optimal control strategies to tailor antivirals for acute infectious diseases in the host
Mara Perez, Pablo Abuin, Marcelo Actis +3
Several mathematical models in SARS-CoV-2 have shown how target-cell model can help to understand the spread of the virus in the host and how potential candidates of antiviral trea…
Model predictive control for optimal social distancing in a type SIR-switched model
J. E. Sereno, A. D' Jorge, A. Ferramosca +2
Social distancing strategies have been adopted by governments to manage the COVID-19 pandemic, since the first outbreak began. However, further epidemic waves keep out the return o…
Dynamic characterization of control SIR-type systems and optimal single-interval control
A. H. González, A. L. Anderson, A. Ferramosca +1
Although modeling studies are focused on the control of SIR-based systems describing epidemic data sets (particularly the COVID-19), few of them present a formal dynamic characteri…
On stability of nonzero set-point for non linear impulsive control systems
A. D'Jorge, A. L. Anderson, A. Ferramosca +2
The interest in non-linear impulsive systems (NIS) has been growing due to its impact in application problems such as disease treatments (diabetes, HIV, influenza, among many other…
Discrete-time MPC for switched systems with applications to biomedical problems
Alejandro Anderson, Alejandro Hernan Gonzalez, Antonio Ferramosca +1
Switched systems in which the manipulated control action is the time-depending switching signal describe many engineering problems, mainly related to biomedical applications. In su…