• 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

通过具有理想随机特征的功率输入增强等离子体模型的混沌复杂性

Enhancing Chaos Complexity of a Plasma Model through Power Input with Desirable Random Features.

作者信息

Natiq Hayder, Kamel Ariffin Muhammad Rezal, Asbullah Muhammad Asyraf, Mahad Zahari, Najah Mohammed

机构信息

Information Technology Collage, Imam Ja'afar Al-Sadiq University, Baghdad 10001, Iraq.

Institute for Mathematical Research, Universiti Putra Malaysia, UPM, Serdang 43400, Malaysia.

出版信息

Entropy (Basel). 2020 Dec 30;23(1):48. doi: 10.3390/e23010048.

DOI:10.3390/e23010048
PMID:33396897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7823621/
Abstract

The present work introduces an analysis framework to comprehend the dynamics of a 3D plasma model, which has been proposed to describe the pellet injection in tokamaks. The analysis of the system reveals the existence of a complex transition from transient chaos to steady periodic behavior. Additionally, without adding any kind of forcing term or controllers, we demonstrate that the system can be changed to become a multi-stable model by injecting more power input. In this regard, we observe that increasing the power input can fluctuate the numerical solution of the system from coexisting symmetric chaotic attractors to the coexistence of infinitely many quasi-periodic attractors. Besides that, complexity analyses based on Sample entropy are conducted, and they show that boosting power input spreads the trajectory to occupy a larger range in the phase space, thus enhancing the time series to be more complex and random. Therefore, our analysis could be important to further understand the dynamics of such models, and it can demonstrate the possibility of applying this system for generating pseudorandom sequences.

摘要

本工作引入了一个分析框架来理解三维等离子体模型的动力学,该模型已被提出用于描述托卡马克中的弹丸注入。对该系统的分析揭示了从瞬态混沌到稳定周期行为的复杂转变的存在。此外,在不添加任何类型的强迫项或控制器的情况下,我们证明通过注入更多的功率输入可以使系统转变为多稳态模型。在这方面,我们观察到增加功率输入会使系统的数值解从共存的对称混沌吸引子波动到无限多个准周期吸引子的共存。除此之外,基于样本熵进行了复杂性分析,结果表明增加功率输入会使轨迹在相空间中占据更大的范围,从而使时间序列更加复杂和随机。因此,我们的分析对于进一步理解此类模型的动力学可能很重要,并且可以证明将该系统应用于生成伪随机序列的可能性。

相似文献

1
Enhancing Chaos Complexity of a Plasma Model through Power Input with Desirable Random Features.通过具有理想随机特征的功率输入增强等离子体模型的混沌复杂性
Entropy (Basel). 2020 Dec 30;23(1):48. doi: 10.3390/e23010048.
2
Mixed-coexistence of periodic orbits and chaotic attractors in an inertial neural system with a nonmonotonic activation function.具有非单调激活函数的惯性神经网络中周期轨道和混沌吸引子的混合共存。
Math Biosci Eng. 2019 Jul 11;16(6):6406-6425. doi: 10.3934/mbe.2019320.
3
Dynamics and Complexity of a New 4D Chaotic Laser System.一种新型四维混沌激光系统的动力学与复杂性
Entropy (Basel). 2019 Jan 7;21(1):34. doi: 10.3390/e21010034.
4
Generating one to four-wing hidden attractors in a novel 4D no-equilibrium chaotic system with extreme multistability.在具有极端多稳定性的新型4D非平衡混沌系统中生成一到四翼隐藏吸引子。
Chaos. 2018 Jan;28(1):013113. doi: 10.1063/1.5006214.
5
A New Fractional-Order Chaotic System with Different Families of Hidden and Self-Excited Attractors.一个具有不同族隐藏和自激吸引子的新型分数阶混沌系统。
Entropy (Basel). 2018 Jul 28;20(8):564. doi: 10.3390/e20080564.
6
Coexistence of multiple periodic and chaotic regimes in biochemical oscillations with phase shifts.具有相位偏移的生化振荡中多种周期性和混沌状态的共存。
Acta Biotheor. 1998 Mar;46(1):37-51. doi: 10.1023/a:1000899820111.
7
Transient dynamics and multistability in two electrically interacting FitzHugh-Nagumo neurons.两个电相互作用的 FitzHugh-Nagumo 神经元中的瞬态动力学和多稳定性。
Chaos. 2021 May;31(5):053107. doi: 10.1063/5.0044390.
8
Spiral organization of quasi-periodic shrimp-shaped domains in a discrete predator-prey system.离散捕食者-被捕食系统中准周期虾形域的螺旋组织。
Chaos. 2024 Aug 1;34(8). doi: 10.1063/5.0208457.
9
Window of multistability and its control in a simple 3D Hopfield neural network: application to biomedical image encryption.简单三维霍普菲尔德神经网络中的多稳定性窗口及其控制:在生物医学图像加密中的应用
Neural Comput Appl. 2021;33(12):6733-6752. doi: 10.1007/s00521-020-05451-z. Epub 2020 Nov 5.
10
Coexisting Attractors and Multistability in a Simple Memristive Wien-Bridge Chaotic Circuit.简单忆阻维恩桥混沌电路中共存吸引子与多稳定性
Entropy (Basel). 2019 Jul 11;21(7):678. doi: 10.3390/e21070678.

引用本文的文献

1
Dynamics of chaotic system based on circuit design with Ulam stability through fractal-fractional derivative with power law kernel.基于具有分数阶导数的分形分数阶幂律核的电路设计的混沌系统动力学的乌拉姆稳定性。
Sci Rep. 2023 Mar 28;13(1):5043. doi: 10.1038/s41598-023-32099-1.
2
Robust Stabilization and Synchronization of a Novel Chaotic System with Input Saturation Constraints.具有输入饱和约束的新型混沌系统的鲁棒镇定与同步
Entropy (Basel). 2021 Aug 27;23(9):1110. doi: 10.3390/e23091110.

本文引用的文献

1
Coexisting Infinite Orbits in an Area-Preserving Lozi Map.保面积洛齐映射中的共存无限轨道。
Entropy (Basel). 2020 Oct 3;22(10):1119. doi: 10.3390/e22101119.
2
Dynamics and Complexity of a New 4D Chaotic Laser System.一种新型四维混沌激光系统的动力学与复杂性
Entropy (Basel). 2019 Jan 7;21(1):34. doi: 10.3390/e21010034.
3
Feedforward attractor targeting for non-linear oscillators using a dual-frequency driving technique.使用双频驱动技术对非线性振荡器进行前馈吸引子靶向。
Chaos. 2020 Jul;30(7):073123. doi: 10.1063/5.0005424.
4
Can hyperchaotic maps with high complexity produce multistability?高复杂度的超混沌映射能否产生多稳定性?
Chaos. 2019 Jan;29(1):011103. doi: 10.1063/1.5079886.
5
Teetering towards chaos and complexity.摇摇欲坠地走向混乱与复杂。
Nat Chem. 2009 Apr;1(1):17-8. doi: 10.1038/nchem.148.
6
Physiological time-series analysis using approximate entropy and sample entropy.使用近似熵和样本熵的生理时间序列分析。
Am J Physiol Heart Circ Physiol. 2000 Jun;278(6):H2039-49. doi: 10.1152/ajpheart.2000.278.6.H2039.
7
Simple mathematical models with very complicated dynamics.具有非常复杂动力学的简单数学模型。
Nature. 1976 Jun 10;261(5560):459-67. doi: 10.1038/261459a0.