Robust and optimal predictive control of the COVID-19 outbreak☆

@article{Khler2020RobustAO,
  title={Robust and optimal predictive control of the COVID-19 outbreak☆},
  author={J. K{\"o}hler and Lukas Schwenkel and A. Koch and Julian Berberich and P. Pauli and F. Allg{\"o}wer},
  journal={Annual Reviews in Control},
  year={2020}
}
We investigate adaptive strategies to robustly and optimally control the COVID-19 pandemic via social distancing measures based on the example of Germany. Our goal is to minimize the number of fatalities over the course of two years without inducing excessive social costs. We consider a tailored model of the German COVID-19 outbreak with different parameter sets to design and validate our approach. Our analysis reveals that an open-loop optimal control policy can significantly decrease the… Expand
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