25 citations · 31 across the 5 of their papers we have counts for
7 papers
Minimizing the Epidemic Final Size while Containing the Infected Peak Prevalence in SIR Systems
J. Sereno, A. L. Anderson, A. Ferramosca +2
Mathematical models are instrumental to forecast the spread of pathogens and to evaluate the effectiveness of non-pharmaceutical measures. A plethora of optimal strategies has been…
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…
Dynamical Characterization of Antiviral Effects in COVID-19
Pablo Abuin, Alejandro Anderson, Antonio Ferramosca +2
Mathematical models describing SARS-CoV-2 dynamics and the corresponding immune responses in patients with COVID-19 can be critical to evaluate possible clinical outcomes of antivi…
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…
Characterization of SARS-CoV-2 Dynamics in the Host
Pablo Abuin, Alejandro Anderson, Antonio Ferramosca +2
While many epidemiological models have being proposed to understand and handle COVID-19, too little has been invested to understand how the virus replicates in the human body and p…
Set-based MPC for discrete-time LTI systems with maximal domain of attraction and minimal predictive control horizon
Alejandro Anderson, Agustina D'Jorge, Alejandro H. González +2
This paper presents a novel set-based model predictive control for tracking, which provides the largest domain of attraction, even with the minimal predictive/control horizon. The…