About: Trajectory Tracking of Optimal Social Distancing Strategies with Application to a CoVid-19 Scenario

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Trajectory Tracking of Optimal Social Distancing Strategies with Application to a CoVid-19 Scenario
Creator	Kiss, István Lauro, Francesco Rus, Daniela Santina, Della
source	ArXiv
abstract	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.
has issue date	2020-08-12(xsd:dateTime)
has license	arxiv
sha1sum (hex)	2543016a26fd1269e799a98f914a8af02d9c5cb9
resource representing a document's title	Trajectory Tracking of Optimal Social Distancing Strategies with Application to a CoVid-19 Scenario
resource representing a document's body	covid:2543016a26fd1269e799a98f914a8af02d9c5cb9#body_text
is schema:about of	named entity 'contacts' named entity 'Northern Italy' named entity 'case' named entity 'reactive' named entity 'adapted' »more»

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