• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于谱配置法的具有随机现象的分数阶时滞微分系统的高阶稳定性分析

Advanced stability analysis of a fractional delay differential system with stochastic phenomena using spectral collocation method.

作者信息

Xie Mengqi, Khan Sami Ullah, Sumelka Wojciech, Alamri Atif M, AlQahtani Salman A

机构信息

Department of Electronic Information Engineering, Xi'an Technological University, Xi'an, 710021, China.

Department of Mathematics, City University of Science and Information Technology, Peshawar, KP, 2500, Pakistan.

出版信息

Sci Rep. 2024 May 27;14(1):12047. doi: 10.1038/s41598-024-62851-0.

DOI:10.1038/s41598-024-62851-0
PMID:38802447
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11130344/
Abstract

In recent years, there has been a growing interest in incorporating fractional calculus into stochastic delay systems due to its ability to model complex phenomena with uncertainties and memory effects. The fractional stochastic delay differential equations are conventional in modeling such complex dynamical systems around various applied fields. The present study addresses a novel spectral approach to demonstrate the stability behavior and numerical solution of the systems characterized by stochasticity along with fractional derivatives and time delay. By bridging the gap between fractional calculus, stochastic processes, and spectral analysis, this work contributes to the field of fractional dynamics and enriches the toolbox of analytical tools available for investigating the stability of systems with delays and uncertainties. To illustrate the practical implications and validate the theoretical findings of our approach, some numerical simulations are presented.

摘要

近年来,由于分数阶微积分能够对具有不确定性和记忆效应的复杂现象进行建模,将其纳入随机延迟系统的研究兴趣日益浓厚。分数阶随机延迟微分方程在围绕各种应用领域对这类复杂动力系统进行建模方面很常见。本研究提出了一种新颖的谱方法,以证明具有分数阶导数和时间延迟的随机系统的稳定性行为和数值解。通过弥合分数阶微积分、随机过程和谱分析之间的差距,这项工作为分数动力学领域做出了贡献,并丰富了可用于研究具有延迟和不确定性系统稳定性的分析工具库。为了说明我们方法的实际意义并验证理论结果,给出了一些数值模拟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/99d1177d02da/41598_2024_62851_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/9c8ab9e7a408/41598_2024_62851_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/e70f5cf01b7f/41598_2024_62851_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/4698556d5cd1/41598_2024_62851_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/7de33a4e1474/41598_2024_62851_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/3901f42924b1/41598_2024_62851_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/4927b59db7d7/41598_2024_62851_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/91e9e60459ff/41598_2024_62851_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/bb0b3384edca/41598_2024_62851_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/e240abeb57eb/41598_2024_62851_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/1e2217d8b6eb/41598_2024_62851_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/99d1177d02da/41598_2024_62851_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/9c8ab9e7a408/41598_2024_62851_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/e70f5cf01b7f/41598_2024_62851_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/4698556d5cd1/41598_2024_62851_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/7de33a4e1474/41598_2024_62851_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/3901f42924b1/41598_2024_62851_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/4927b59db7d7/41598_2024_62851_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/91e9e60459ff/41598_2024_62851_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/bb0b3384edca/41598_2024_62851_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/e240abeb57eb/41598_2024_62851_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/1e2217d8b6eb/41598_2024_62851_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e94/11130344/99d1177d02da/41598_2024_62851_Fig11_HTML.jpg

相似文献

1
Advanced stability analysis of a fractional delay differential system with stochastic phenomena using spectral collocation method.基于谱配置法的具有随机现象的分数阶时滞微分系统的高阶稳定性分析
Sci Rep. 2024 May 27;14(1):12047. doi: 10.1038/s41598-024-62851-0.
2
Numerical simulation of a fractional stochastic delay differential equations using spectral scheme: a comprehensive stability analysis.基于谱方法的分数阶随机延迟微分方程数值模拟:全面稳定性分析
Sci Rep. 2024 Mar 23;14(1):6930. doi: 10.1038/s41598-024-56944-z.
3
Bridging the gap between models based on ordinary, delayed, and fractional differentials equations through integral kernels.通过积分核弥合基于常微分方程、延迟微分方程和分数阶微分方程的模型之间的差距。
Proc Natl Acad Sci U S A. 2024 May 7;121(19):e2322424121. doi: 10.1073/pnas.2322424121. Epub 2024 May 2.
4
The Use of Generalized Laguerre Polynomials in Spectral Methods for Solving Fractional Delay Differential Equations.广义拉盖尔多项式在求解分数阶延迟微分方程的谱方法中的应用
J Comput Nonlinear Dyn. 2013 Oct;8(4):41018-NaN. doi: 10.1115/1.4024852. Epub 2013 Jul 18.
5
Fractional calculus in bioengineering, part 3.生物工程中的分数阶微积分,第3部分。
Crit Rev Biomed Eng. 2004;32(3-4):195-377. doi: 10.1615/critrevbiomedeng.v32.i34.10.
6
Fractional calculus in hydrologic modeling: A numerical perspective.水文建模中的分数阶微积分:数值视角。
Adv Water Resour. 2013 Jan 1;51:479-497. doi: 10.1016/j.advwatres.2012.04.005. Epub 2012 May 4.
7
A novel simulation-based analysis of a stochastic HIV model with the time delay using high order spectral collocation technique.基于高阶谱配置技术的具有时滞的随机 HIV 模型的新型仿真分析。
Sci Rep. 2024 Apr 4;14(1):7961. doi: 10.1038/s41598-024-57073-3.
8
Asymptotic stability of nonlinear fractional delay differential equations with α ∈ (1, 2): An application to fractional delay neural networks.α∈(1, 2) 时非线性分数阶延迟微分方程的渐近稳定性:在分数阶延迟神经网络中的应用
Chaos. 2024 Apr 1;34(4). doi: 10.1063/5.0188371.
9
Multivariate Markov processes for stochastic systems with delays: application to the stochastic Gompertz model with delay.具有时滞的随机系统的多元马尔可夫过程:应用于具有时滞的随机冈珀茨模型
Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Jul;66(1 Pt 1):011914. doi: 10.1103/PhysRevE.66.011914. Epub 2002 Jul 26.
10
An Efficient Numerical Scheme for Solving a Fractional-Order System of Delay Differential Equations.一种求解分数阶延迟微分方程组的高效数值格式
Int J Appl Comput Math. 2022;8(5):262. doi: 10.1007/s40819-022-01466-3. Epub 2022 Sep 26.

引用本文的文献

1
Collocation method for solving fractional reaction-diffusion problem arising in chemistry.求解化学中分数阶反应扩散问题的配置方法。
Sci Rep. 2025 Jul 1;15(1):22348. doi: 10.1038/s41598-025-05339-9.

本文引用的文献

1
Multi-UUV Maneuvering Counter-Game for Dynamic Target Scenario Based on Fractional-Order Recurrent Neural Network.基于分数阶递归神经网络的动态目标场景下多无人水下航行器机动对抗博弈
IEEE Trans Cybern. 2023 Jun;53(6):4015-4028. doi: 10.1109/TCYB.2022.3225106. Epub 2023 May 17.
2
A Primer on the Present State and Future Prospects for Machine Learning and Artificial Intelligence Applications in Cardiology.机器学习和人工智能在心脏病学中的应用现状及未来展望概述。
Can J Cardiol. 2022 Feb;38(2):169-184. doi: 10.1016/j.cjca.2021.11.009. Epub 2021 Nov 24.
3
Transmission dynamic of stochastic hepatitis C model by spectral collocation method.
基于谱配置法的随机丙型肝炎模型的传播动力学
Comput Methods Biomech Biomed Engin. 2022 Apr;25(5):578-592. doi: 10.1080/10255842.2021.1970143. Epub 2021 Aug 30.
4
Applications of Distributed-Order Fractional Operators: A Review.分布式阶分数算子的应用:综述
Entropy (Basel). 2021 Jan 15;23(1):110. doi: 10.3390/e23010110.
5
Deep Eutectic Solvents: A Review of Fundamentals and Applications.深共熔溶剂:基础与应用综述。
Chem Rev. 2021 Feb 10;121(3):1232-1285. doi: 10.1021/acs.chemrev.0c00385. Epub 2020 Dec 14.
6
Prediction of MOF Performance in Vacuum Swing Adsorption Systems for Postcombustion CO Capture Based on Integrated Molecular Simulations, Process Optimizations, and Machine Learning Models.基于集成分子模拟、过程优化和机器学习模型的真空变吸附系统用于燃烧后 CO 捕集的 MOF 性能预测。
Environ Sci Technol. 2020 Apr 7;54(7):4536-4544. doi: 10.1021/acs.est.9b07407. Epub 2020 Mar 12.
7
Transient phenomena in ecology.生态学中的瞬态现象。
Science. 2018 Sep 7;361(6406). doi: 10.1126/science.aat6412.
8
Generative models of cortical oscillations: neurobiological implications of the kuramoto model.皮层振荡的生成模型:Kuramoto模型的神经生物学意义
Front Hum Neurosci. 2010 Nov 11;4:190. doi: 10.3389/fnhum.2010.00190. eCollection 2010.