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Optimal heat emissivity control of n population system based on individual size-distribution

This paper generalizes a class of controllability problems based on the scale structure population system model. Based on the comparison principle of linear systems, the solution of the nonlinear system model is obtained by referring to the fixed point theorem. The non-negative, boundedness, existen...

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Autores principales: Ba, Zhenggang, Wang, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584966/
https://www.ncbi.nlm.nih.gov/pubmed/37853000
http://dx.doi.org/10.1038/s41598-023-42648-3
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author Ba, Zhenggang
Wang, Ye
author_facet Ba, Zhenggang
Wang, Ye
author_sort Ba, Zhenggang
collection PubMed
description This paper generalizes a class of controllability problems based on the scale structure population system model. Based on the comparison principle of linear systems, the solution of the nonlinear system model is obtained by referring to the fixed point theorem. The non-negative, boundedness, existence, and uniqueness of the solution of the system model are established. The optimality condition is described in detail by means of a normal cone and conjugate system under the condition of proving the continuous dependence of the state environment on the solution to control variables.
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spelling pubmed-105849662023-10-20 Optimal heat emissivity control of n population system based on individual size-distribution Ba, Zhenggang Wang, Ye Sci Rep Article This paper generalizes a class of controllability problems based on the scale structure population system model. Based on the comparison principle of linear systems, the solution of the nonlinear system model is obtained by referring to the fixed point theorem. The non-negative, boundedness, existence, and uniqueness of the solution of the system model are established. The optimality condition is described in detail by means of a normal cone and conjugate system under the condition of proving the continuous dependence of the state environment on the solution to control variables. Nature Publishing Group UK 2023-10-18 /pmc/articles/PMC10584966/ /pubmed/37853000 http://dx.doi.org/10.1038/s41598-023-42648-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ba, Zhenggang
Wang, Ye
Optimal heat emissivity control of n population system based on individual size-distribution
title Optimal heat emissivity control of n population system based on individual size-distribution
title_full Optimal heat emissivity control of n population system based on individual size-distribution
title_fullStr Optimal heat emissivity control of n population system based on individual size-distribution
title_full_unstemmed Optimal heat emissivity control of n population system based on individual size-distribution
title_short Optimal heat emissivity control of n population system based on individual size-distribution
title_sort optimal heat emissivity control of n population system based on individual size-distribution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584966/
https://www.ncbi.nlm.nih.gov/pubmed/37853000
http://dx.doi.org/10.1038/s41598-023-42648-3
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