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On the Analysis of Regularized Fuzzy Systems of Uncertain Differential Equations
This article analyzes a regularized set of fuzzy differential equations with respect to an uncertain parameter. We provide sufficient conditions for the correctness of a new regularization scheme. For the resulting family of regularized fuzzy differential equations, the following properties are anal...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378660/ https://www.ncbi.nlm.nih.gov/pubmed/37509956 http://dx.doi.org/10.3390/e25071010 |
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author | Martynyuk, Anatoliy Stamov, Gani Stamova, Ivanka Martynyuk-Chernienko, Yulya |
author_facet | Martynyuk, Anatoliy Stamov, Gani Stamova, Ivanka Martynyuk-Chernienko, Yulya |
author_sort | Martynyuk, Anatoliy |
collection | PubMed |
description | This article analyzes a regularized set of fuzzy differential equations with respect to an uncertain parameter. We provide sufficient conditions for the correctness of a new regularization scheme. For the resulting family of regularized fuzzy differential equations, the following properties are analyzed, and efficient criteria are proposed: successive approximations, continuity, global existence of solutions, existence of approximate solutions, existence of solutions in the autonomous case. In addition, we develop stability criteria for the regularized family of fuzzy differential equations on the basis of the comparison technique and the method of nonlinear integral inequalities. We expect that the derived results will inspire future research work in this direction. |
format | Online Article Text |
id | pubmed-10378660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103786602023-07-29 On the Analysis of Regularized Fuzzy Systems of Uncertain Differential Equations Martynyuk, Anatoliy Stamov, Gani Stamova, Ivanka Martynyuk-Chernienko, Yulya Entropy (Basel) Article This article analyzes a regularized set of fuzzy differential equations with respect to an uncertain parameter. We provide sufficient conditions for the correctness of a new regularization scheme. For the resulting family of regularized fuzzy differential equations, the following properties are analyzed, and efficient criteria are proposed: successive approximations, continuity, global existence of solutions, existence of approximate solutions, existence of solutions in the autonomous case. In addition, we develop stability criteria for the regularized family of fuzzy differential equations on the basis of the comparison technique and the method of nonlinear integral inequalities. We expect that the derived results will inspire future research work in this direction. MDPI 2023-06-30 /pmc/articles/PMC10378660/ /pubmed/37509956 http://dx.doi.org/10.3390/e25071010 Text en © 2023 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 Martynyuk, Anatoliy Stamov, Gani Stamova, Ivanka Martynyuk-Chernienko, Yulya On the Analysis of Regularized Fuzzy Systems of Uncertain Differential Equations |
title | On the Analysis of Regularized Fuzzy Systems of Uncertain Differential Equations |
title_full | On the Analysis of Regularized Fuzzy Systems of Uncertain Differential Equations |
title_fullStr | On the Analysis of Regularized Fuzzy Systems of Uncertain Differential Equations |
title_full_unstemmed | On the Analysis of Regularized Fuzzy Systems of Uncertain Differential Equations |
title_short | On the Analysis of Regularized Fuzzy Systems of Uncertain Differential Equations |
title_sort | on the analysis of regularized fuzzy systems of uncertain differential equations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378660/ https://www.ncbi.nlm.nih.gov/pubmed/37509956 http://dx.doi.org/10.3390/e25071010 |
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