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Adaptive Synchronization of Fractional-Order Complex-Valued Neural Networks with Discrete and Distributed Delays
In this paper, the synchronization problem of fractional-order complex-valued neural networks with discrete and distributed delays is investigated. Based on the adaptive control and Lyapunov function theory, some sufficient conditions are derived to ensure the states of two fractional-order complex-...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512617/ https://www.ncbi.nlm.nih.gov/pubmed/33265215 http://dx.doi.org/10.3390/e20020124 |
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author | Li, Li Wang, Zhen Lu, Junwei Li, Yuxia |
author_facet | Li, Li Wang, Zhen Lu, Junwei Li, Yuxia |
author_sort | Li, Li |
collection | PubMed |
description | In this paper, the synchronization problem of fractional-order complex-valued neural networks with discrete and distributed delays is investigated. Based on the adaptive control and Lyapunov function theory, some sufficient conditions are derived to ensure the states of two fractional-order complex-valued neural networks with discrete and distributed delays achieve complete synchronization rapidly. Finally, numerical simulations are given to illustrate the effectiveness and feasibility of the theoretical results. |
format | Online Article Text |
id | pubmed-7512617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75126172020-11-09 Adaptive Synchronization of Fractional-Order Complex-Valued Neural Networks with Discrete and Distributed Delays Li, Li Wang, Zhen Lu, Junwei Li, Yuxia Entropy (Basel) Article In this paper, the synchronization problem of fractional-order complex-valued neural networks with discrete and distributed delays is investigated. Based on the adaptive control and Lyapunov function theory, some sufficient conditions are derived to ensure the states of two fractional-order complex-valued neural networks with discrete and distributed delays achieve complete synchronization rapidly. Finally, numerical simulations are given to illustrate the effectiveness and feasibility of the theoretical results. MDPI 2018-02-13 /pmc/articles/PMC7512617/ /pubmed/33265215 http://dx.doi.org/10.3390/e20020124 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Li Wang, Zhen Lu, Junwei Li, Yuxia Adaptive Synchronization of Fractional-Order Complex-Valued Neural Networks with Discrete and Distributed Delays |
title | Adaptive Synchronization of Fractional-Order Complex-Valued Neural Networks with Discrete and Distributed Delays |
title_full | Adaptive Synchronization of Fractional-Order Complex-Valued Neural Networks with Discrete and Distributed Delays |
title_fullStr | Adaptive Synchronization of Fractional-Order Complex-Valued Neural Networks with Discrete and Distributed Delays |
title_full_unstemmed | Adaptive Synchronization of Fractional-Order Complex-Valued Neural Networks with Discrete and Distributed Delays |
title_short | Adaptive Synchronization of Fractional-Order Complex-Valued Neural Networks with Discrete and Distributed Delays |
title_sort | adaptive synchronization of fractional-order complex-valued neural networks with discrete and distributed delays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512617/ https://www.ncbi.nlm.nih.gov/pubmed/33265215 http://dx.doi.org/10.3390/e20020124 |
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