About: In this paper we investigate feedback control techniques for the COVID-19 pandemic which are able to guarantee that the capacity of available intensive care unit beds is not exceeded. The control signal models the social distancing policies enacted by the local government. We propose a control design based on the bang-bang funnel controller which is model-free, robust and arbitrarily scalable. It is independent of the parameters of the epidemiological model and only requires measurements of the number of individuals who require medical attention. Therefore, it may serve as a first step towards a reliable decision making mechanism. Simulations illustrate the efficiency of the proposed controller.   Goto Sponge  NotDistinct  Permalink

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  • In this paper we investigate feedback control techniques for the COVID-19 pandemic which are able to guarantee that the capacity of available intensive care unit beds is not exceeded. The control signal models the social distancing policies enacted by the local government. We propose a control design based on the bang-bang funnel controller which is model-free, robust and arbitrarily scalable. It is independent of the parameters of the epidemiological model and only requires measurements of the number of individuals who require medical attention. Therefore, it may serve as a first step towards a reliable decision making mechanism. Simulations illustrate the efficiency of the proposed controller.
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  • Decision-making
  • 2019 disasters in China
  • 2019 health disasters
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