Zobrazeno 1 - 10
of 113
pro vyhledávání: '"González, Alejandro H"'
Autor:
Perez, Mara, Actis, Marcelo, Sanchez, Ignacio, Hernandez-Vargas, Esteban A., González, Alejandro H.
Publikováno v:
In Mathematical Biosciences January 2025 379
Autor:
Perez, Mara, Abuin, Pablo, Actis, Marcelo, Ferramosca, Antonio, Hernandez-Vargas, Esteban A., Gonzalez, Alejandro H.
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 treatments can help to control the virus. Concepts as equilibrium and stab
Externí odkaz:
http://arxiv.org/abs/2106.09528
Linear impulsively controlled systems are suitable to describe a venue of real-life problems, going from disease treatment to aerospace guidance. The main characteristic of such systems is that they remain uncontrolled for certain periods of time. As
Externí odkaz:
http://arxiv.org/abs/2103.13831
Publikováno v:
In Journal of Process Control April 2024 136
Autor:
Abuin, Pablo, Anderson, Alejandro, Ferramosca, Antonio, Hernandez-Vargas, Esteban A., Gonzalez, Alejandro H.
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 antiviral treatments. In this work, based on the concept of virus spreadabil
Externí odkaz:
http://arxiv.org/abs/2012.15585
Autor:
Abuin, Pablo, Anderson, Alejandro, Ferramosca, Antonio, Hernandez-Vargas, Esteban A., Gonzalez, Alejandro H.
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 potential antiviral can be used to control the replication cycle. In th
Externí odkaz:
http://arxiv.org/abs/2006.08447
Publikováno v:
In Sustainable Energy, Grids and Networks December 2023 36
Autor:
Comelli, Román, González, Alejandro H., Ferramosca, Antonio, Olaru, Sorin, Seron, María M., Kofman, Ernesto
Publikováno v:
In Systems & Control Letters October 2023 180
Autor:
Anderson, Alejandro, D'Jorge, Agustina, González, Alejandro H., Ferramosca, Antonio, Actis, Marcelo
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 formulation - which consists of a single optimization problem - shows
Externí odkaz:
http://arxiv.org/abs/1910.00608
Publikováno v:
In Nonlinear Analysis: Hybrid Systems February 2023 47