A Markovian model for the spread of the SARS-CoV-2 virus
We propose a Markovian stochastic approach to model the spread of a SARS-CoV-2-like
infection within a closed group of humans. The model takes the form of a Partially …
infection within a closed group of humans. The model takes the form of a Partially …
On the use of MPC techniques to decide intervention policies against COVID-19
Z Liu, O Stursberg - Ifac-papersonline, 2021 - Elsevier
This paper aims at demonstrating how and that model predictive control (MPC) strategies
can be used to determine optimal intervention policies against the COVID-19 pandemic …
can be used to determine optimal intervention policies against the COVID-19 pandemic …
A Sequential Quadratic Programming Approach for the Predictive Control of the COVID-19 Spread
MM Morato, GNG dos Reis, JE Normey-Rico - Ifac-papersonline, 2021 - Elsevier
The COVID-19 pandemic is the defying crisis of our time. Since mass vaccination has not yet
been established, countries still have been facing many issues due to the viral spread. Even …
been established, countries still have been facing many issues due to the viral spread. Even …
Markovian and non-Markovian processes with active decision making strategies For addressing the COVID-19 pandemic
We study and predict the evolution of Covid-19 in six US states from the period May 1
through August 31 using a discrete compartment-based model and prescribe active …
through August 31 using a discrete compartment-based model and prescribe active …
A distributed optimal control model applied to COVID-19 pandemic
In this paper, a distributed optimal control epidemiological model is presented. The model
describes the dynamics of an epidemic with social distancing as a control policy. The model …
describes the dynamics of an epidemic with social distancing as a control policy. The model …
Optimal control approach for the COVID-19 pandemic in Bahia and Santa Catarina, Brazil
IML Pataro, MM Morato, MVA da Costa… - Journal of Control …, 2022 - Springer
The COVID-19 pandemic is the most profound crisis of the twenty-first century. The SARS-
CoV-2 virus was first registered in Brazil on March 2020, and its social and economic …
CoV-2 virus was first registered in Brazil on March 2020, and its social and economic …
Verifying a stochastic model for the spread of a SARS-CoV-2-like infection: opportunities and limitations
M Roveri, F Ivankovic, L Palopoli… - International Conference of …, 2022 - Springer
There is a growing interest in modeling and analyzing the spread of diseases like the SARS-
CoV-2 infection using stochastic models. These models are typically analyzed quantitatively …
CoV-2 infection using stochastic models. These models are typically analyzed quantitatively …
Markovian and non-Markovian processes with active decision making strategies for addressing the COVID-19 epidemic
We study and predict the evolution of Covid-19 in six US states from the period May 1
through August 31 using a discrete compartment-based model and prescribe active …
through August 31 using a discrete compartment-based model and prescribe active …
Designing social distancing policies for the COVID-19 pandemic: A probabilistic model predictive control approach
The effective control of the COVID-19 pandemic is one the most challenging issues of
nowadays. The design of optimal control policies is perplexed from a variety of social …
nowadays. The design of optimal control policies is perplexed from a variety of social …
Continuous-time stochastic processes for the spread of COVID-19 disease simulated via a Monte Carlo approach and comparison with deterministic models
Two stochastic models are proposed to describe the evolution of the COVID-19 pandemic. In
the first model the population is partitioned into four compartments: susceptible S, infected I …
the first model the population is partitioned into four compartments: susceptible S, infected I …