This letter proposes the use of nonlinear feedback control to produce robust and reactive social distancing policies that can be adapted in response to an epidemic outbreak. % A trajectory tracking algorithm is proposed, and its effectiveness is analytically proven when acting on a low-dimensional approximation of the epidemics. % Means of mapping the inputs and output of this controller to the real network dynamics of the epidemics are introduced. % The strategy is tested with extensive simulations in a Covid-19 inspired scenario, with particular focus on the case of Codogno - a small city in Northern Italy that has been among the most harshly hit by the pandemic. % The proposed algorithm generates dramatic reductions of epidemic levels, while maintaining a total level of social distancing close to the nominal optimum.

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strategy optimum reactive social distancing policies covid19 inspired scenario trajectory tracking algorithm nonlinear feedback control epidemic outbreak controller lowdimensional approximation of the epidemics

Kiss, Istvan, Rus, Daniela,Di Lauro, Francesco, Della Santina, Cosimo,.Trajectory Tracking of Optimal Social Distancing Strategies with Application to a CoVid-19 Scenario. (),.

Kiss, Istvan, et al."Trajectory Tracking of Optimal Social Distancing Strategies with Application to a CoVid-19 Scenario"

Kiss, Istvan, Rus, Daniela,Di Lauro, Francesco, Della Santina, Cosimo,"Trajectory Tracking of Optimal Social Distancing Strategies with Application to a CoVid-19 Scenario"