ArticleBiochemical and biophysical research communications2021
Nonlinear adaptive control of COVID-19 with media campaigns and treatment.
Article in Biochemical and biophysical research communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Modeling and control of COVID-19 disease using deep reinforcement learning method.Medical & biological engineering & computing · 2024Article
- Interval type-2 Fuzzy control and stochastic modeling of COVID-19 spread based on vaccination and social distancing rates.Computer methods and programs in biomedicine · 2023Article
- New strategy to control covid-19 pandemic using lead/lag compensator.Biomedical signal processing and control · 2021Article
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Authors and funding
2 authors.
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Abstract
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the infection of severe acute respiratory syndrome coronavirus 2, which is spreading all over the world and causing huge human and economic losses. For these reasons, we study the adaptive control problem of COVID-19 in consideration of media campaigns and treatment in this paper. Firstly, a novel compartment model is constructed by analysing the spread mechanism of COVID-19 and a nonlinear adaptive control problem is established. Then, using the estimation of parameters updated by adaptive laws, the controllers are designed to achieve the control goals. Finally, numerical examples are presented to illustrate the control capability to the outbreak of COVID-19.
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