Data‐driven model prediction and optimal control for interventional policy of a class of susceptible‐infectious‐removed dynamics with COVID‐19 data-Reference-Cited by-同舟云学术

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Data‐driven model prediction and optimal control for interventional policy of a class of susceptible‐infectious‐removed dynamics with COVID‐19 data

Published:2022-11-08 Issue:4 Volume:4 Page:
ISSN:2578-0727
Container-title:Advanced Control for Applications
language:en
Short-container-title:Adv Control Appl

Author:

Treesatayapun Chidentree¹^ORCID

Affiliation:

1. Department of Robotic and Advanced Manufacturing CINVESTAV‐IPN Ramos Arizpe Mexico

Funder

Consejo Nacional de Ciencia y Tecnología

Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional

Publisher

Wiley

Subject

Modeling and Simulation,Control and Systems Engineering,Energy (miscellaneous),Signal Processing,Computer Science Applications,Computer Networks and Communications,Artificial Intelligence

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adc2.115

Reference37 articles.

1. Dynamic modeling and analysis of COVID‐19 in different transmission process and control strategies

2. An investigation of testing capacity for evaluating and modeling the spread of coronavirus disease

3. State estimation-based control of COVID-19 epidemic before and after vaccine development

4. The explicit series solution of SIR and SIS epidemic models;Khan H;Appl Math Comput,2009

5. modified variable‐order fractional SIR model to predict the spread of COVID‐19 in India;Singh AK;Math Meth Appl Sci,2021

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