A parametrized nonlinear predictive control strategy for relaxing COVID-19 social distancing measures in Brazil.
- DOI
- 10.1016/j.isatra.2020.12.012
- Published
- 2022 May
- Container
- ISA transactions
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.isatra.2020.12.012,
title = {A parametrized nonlinear predictive control strategy for relaxing COVID-19 social distancing measures in Brazil.},
author = {Morato MM and Pataro IML and Americano da Costa MV and Normey-Rico JE},
year = {2022},
journal = {ISA transactions},
doi = {10.1016/j.isatra.2020.12.012},
url = {https://doi.org/10.1016/j.isatra.2020.12.012}
}RIS
TY - JOUR TI - A parametrized nonlinear predictive control strategy for relaxing COVID-19 social distancing measures in Brazil. AU - Morato MM AU - Pataro IML AU - Americano da Costa MV AU - Normey-Rico JE PY - 2022 JO - ISA transactions DO - 10.1016/j.isatra.2020.12.012 UR - https://doi.org/10.1016/j.isatra.2020.12.012 ER -
APA
MM, M., IML, P., MV, A. D. C., & JE, N. (2022). A parametrized nonlinear predictive control strategy for relaxing COVID-19 social distancing measures in Brazil.. ISA transactions. https://doi.org/10.1016/j.isatra.2020.12.012
Source records
- pubmed · retrieved 2026-09-25T01:31:31.875Z