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Optimal Control of Uniformly Heated Granular Fluids in Linear Response

We present a detailed analytical investigation of the optimal control of uniformly heated granular gases in the linear regime. The intensity of the stochastic driving is therefore assumed to be bounded between two values that are close, which limits the possible values of the granular temperature to...

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Autores principales: Ruiz-Pino, Natalia, Prados, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774495/
https://www.ncbi.nlm.nih.gov/pubmed/35052157
http://dx.doi.org/10.3390/e24010131
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author Ruiz-Pino, Natalia
Prados, Antonio
author_facet Ruiz-Pino, Natalia
Prados, Antonio
author_sort Ruiz-Pino, Natalia
collection PubMed
description We present a detailed analytical investigation of the optimal control of uniformly heated granular gases in the linear regime. The intensity of the stochastic driving is therefore assumed to be bounded between two values that are close, which limits the possible values of the granular temperature to a correspondingly small interval. Specifically, we are interested in minimising the connection time between the non-equilibrium steady states (NESSs) for two different values of the granular temperature by controlling the time dependence of the driving intensity. The closeness of the initial and target NESSs make it possible to linearise the evolution equations and rigorously—from a mathematical point of view—prove that the optimal controls are of bang-bang type, with only one switching in the first Sonine approximation. We also look into the dependence of the optimal connection time on the bounds of the driving intensity. Moreover, the limits of validity of the linear regime are investigated.
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spelling pubmed-87744952022-01-21 Optimal Control of Uniformly Heated Granular Fluids in Linear Response Ruiz-Pino, Natalia Prados, Antonio Entropy (Basel) Article We present a detailed analytical investigation of the optimal control of uniformly heated granular gases in the linear regime. The intensity of the stochastic driving is therefore assumed to be bounded between two values that are close, which limits the possible values of the granular temperature to a correspondingly small interval. Specifically, we are interested in minimising the connection time between the non-equilibrium steady states (NESSs) for two different values of the granular temperature by controlling the time dependence of the driving intensity. The closeness of the initial and target NESSs make it possible to linearise the evolution equations and rigorously—from a mathematical point of view—prove that the optimal controls are of bang-bang type, with only one switching in the first Sonine approximation. We also look into the dependence of the optimal connection time on the bounds of the driving intensity. Moreover, the limits of validity of the linear regime are investigated. MDPI 2022-01-16 /pmc/articles/PMC8774495/ /pubmed/35052157 http://dx.doi.org/10.3390/e24010131 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ruiz-Pino, Natalia
Prados, Antonio
Optimal Control of Uniformly Heated Granular Fluids in Linear Response
title Optimal Control of Uniformly Heated Granular Fluids in Linear Response
title_full Optimal Control of Uniformly Heated Granular Fluids in Linear Response
title_fullStr Optimal Control of Uniformly Heated Granular Fluids in Linear Response
title_full_unstemmed Optimal Control of Uniformly Heated Granular Fluids in Linear Response
title_short Optimal Control of Uniformly Heated Granular Fluids in Linear Response
title_sort optimal control of uniformly heated granular fluids in linear response
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774495/
https://www.ncbi.nlm.nih.gov/pubmed/35052157
http://dx.doi.org/10.3390/e24010131
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