A class of n-D Hamiltonian conservative chaotic systems with three-terminal memristor: Modeling, dynamical analysis, and FPGA implementation.

IF 2.7 2区 数学 Q1 MATHEMATICS, APPLIED
Chaos Pub Date : 2025-01-01 DOI:10.1063/5.0238893
Ye Yuan, Fei Yu, Bohong Tan, Yuanyuan Huang, Wei Yao, Shuo Cai, Hairong Lin
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引用次数: 0

Abstract

Memristors are commonly used to introduce various chaotic systems and can be used to enhance their chaotic characteristics. However, due to the strict construction conditions of Hamiltonian systems, there has been limited research on the development of memristive Hamiltonian conservative chaotic systems (MHCCSs). In this work, a method for constructing three-terminal memristors is proposed, and the three-terminal memristors are incorporated into the Hamiltonian system, resulting in the development of a class of n-D MHCCS. Based on this method, we model a 4D MHCCS as a standard model for detailed dynamic analysis. The dynamic analysis reveals that the MHCCS exhibits complex dynamic behaviors, including conservativeness, symmetry, chaos depending on parameters, extreme multistability, and chaos under a wide parameter range. The dynamic analysis shows that MHCCS not only retains the favorable characteristics of a conservative system but also has more complex nonlinear dynamics due to the incorporation of memristors, thereby further enhancing its chaotic characteristics. Furthermore, the pseudo-random number generator based on the MHCCS has excellent randomness in terms of the NIST test. Finally, the physical realizability of the system is verified through Field Programmable Gate Array experiments. This study demonstrates that the constructed class of MHCCSs is a good entropy source that can be applied to various chaotic embedded systems, including secure communication, cryptographic system, and pseudo-random number generator.

一类带有三端忆阻器的n-D哈密顿保守混沌系统:建模、动态分析和FPGA实现。
忆阻器通常用于引入各种混沌系统,并可用于增强其混沌特性。然而,由于哈密顿系统的构造条件十分严格,对记忆哈密顿保守混沌系统(MHCCSs)的发展研究有限。在这项工作中,提出了一种构造三端忆阻器的方法,并将三端忆阻器纳入哈密顿系统,从而开发了一类n-D MHCCS。基于这种方法,我们建立了一个4D MHCCS模型,作为详细动态分析的标准模型。动力学分析表明,MHCCS系统表现出复杂的动力学行为,包括保守性、对称性、参数依赖混沌、极端多稳定性和大参数范围内的混沌。动力学分析表明,MHCCS不仅保留了保守系统的良好特性,而且由于加入了忆阻器,其非线性动力学更加复杂,从而进一步增强了其混沌特性。此外,基于MHCCS的伪随机数生成器在NIST测试中具有良好的随机性。最后,通过现场可编程门阵列实验验证了系统的物理可实现性。研究表明,所构建的MHCCSs类是一种良好的熵源,可应用于各种混沌嵌入式系统,包括安全通信、密码系统和伪随机数生成器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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