• 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

阻尼驱动非线性系统复杂网络中类共振混沌的出现

Resonancelike emergence of chaos in complex networks of damped-driven nonlinear systems.

作者信息

Chacón Ricardo, Martínez Pedro J

机构信息

Departamento de Física Aplicada, E.I.I., <a href="https://ror.org/0174shg90">Universidad de Extremadura</a>, Apartado Postal 382, E-06006 Badajoz, Spain and Instituto de Computación Científica Avanzada (ICCAEx), <a href="https://ror.org/0174shg90">Universidad de Extremadura</a>, E-06006 Badajoz, Spain.

Departamento de Física Aplicada, E.I.N.A., <a href="https://ror.org/012a91z28">Universidad de Zaragoza</a>, E-50018 Zaragoza, Spain and Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-<a href="https://ror.org/012a91z28">Universidad de Zaragoza</a>, E-50009 Zaragoza, Spain.

出版信息

Phys Rev E. 2024 Jul;110(1-1):014209. doi: 10.1103/PhysRevE.110.014209.

DOI:10.1103/PhysRevE.110.014209
PMID:39160972
Abstract

Characterizing the emergence of chaotic dynamics of complex networks is an essential task in nonlinear science with potential important applications in many fields such as neural control engineering, microgrid technologies, and ecological networks. Here, we solve a critical outstanding problem in this multidisciplinary research field: the emergence and persistence of spatiotemporal chaos in complex networks of damped-driven nonlinear oscillators in the significant weak-coupling regime, while they exhibit regular behavior when uncoupled. By developing a comprehensive theory with the aid of standard analytical methods, a hierarchy of lower-dimensional effective models, and extensive numerical simulations, we uncover and characterize the basic physical mechanisms concerning both heterogeneity-induced and impulse-induced emergence, enhancement, and suppression of chaos in starlike and scale-free networks of periodically driven, dissipative nonlinear oscillators.

摘要

刻画复杂网络混沌动力学的出现是非线性科学中的一项重要任务,在神经控制工程、微电网技术和生态网络等许多领域具有潜在的重要应用。在此,我们解决了这个多学科研究领域中一个关键的突出问题:在显著弱耦合 regime 下,阻尼驱动非线性振荡器的复杂网络中时空混沌的出现和持续存在,而当它们未耦合时表现出规则行为。通过借助标准分析方法、低维有效模型层次结构和广泛的数值模拟开发一种综合理论,我们揭示并刻画了关于周期性驱动、耗散非线性振荡器的星型和无标度网络中异质性诱导和脉冲诱导的混沌出现、增强和抑制的基本物理机制。

相似文献

1
Resonancelike emergence of chaos in complex networks of damped-driven nonlinear systems.阻尼驱动非线性系统复杂网络中类共振混沌的出现
Phys Rev E. 2024 Jul;110(1-1):014209. doi: 10.1103/PhysRevE.110.014209.
2
Emergence of chaos in starlike networks of dissipative nonlinear oscillators by localized parametric excitations.局域参数激励耗散非线性振子星形网络中的混沌涌现。
Phys Rev E. 2017 May;95(5-1):052219. doi: 10.1103/PhysRevE.95.052219. Epub 2017 May 30.
3
Impulse-induced localized control of chaos in starlike networks.类星型网络中脉冲诱导的局部混沌控制。
Phys Rev E. 2016 Jun;93(6):062210. doi: 10.1103/PhysRevE.93.062210. Epub 2016 Jun 10.
4
Is there chaos in the brain? II. Experimental evidence and related models.大脑中存在混乱状态吗?II. 实验证据及相关模型。
C R Biol. 2003 Sep;326(9):787-840. doi: 10.1016/j.crvi.2003.09.011.
5
Controlling chaos with localized heterogeneous forces in oscillator chains.利用振荡器链中的局部非均匀力控制混沌
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Oct;74(4 Pt 2):046202. doi: 10.1103/PhysRevE.74.046202. Epub 2006 Oct 2.
6
Coherent chaos in a recurrent neural network with structured connectivity.具有结构连接的递归神经网络中的相干混沌。
PLoS Comput Biol. 2018 Dec 13;14(12):e1006309. doi: 10.1371/journal.pcbi.1006309. eCollection 2018 Dec.
7
Spatiotemporal spread of perturbations in a driven dissipative Duffing chain: An out-of-time-ordered correlator approach.驱动耗散杜芬链中微扰的时空传播:一种非时序关联器方法。
Phys Rev E. 2020 Nov;102(5-1):052103. doi: 10.1103/PhysRevE.102.052103.
8
[Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].[精神病理学中的动态范式:“混沌理论”,从物理学到精神病学]
Encephale. 2001 May-Jun;27(3):260-8.
9
Controlling spatiotemporal chaos in chains of dissipative Kapitza pendula.控制耗散型卡皮察摆链中的时空混沌
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Jul;82(1 Pt 2):016201. doi: 10.1103/PhysRevE.82.016201. Epub 2010 Jul 1.
10
Synchronization transition in neuronal networks composed of chaotic or non-chaotic oscillators.由混沌或非混沌振荡器组成的神经元网络中的同步跃迁。
Sci Rep. 2018 May 30;8(1):8370. doi: 10.1038/s41598-018-26730-9.