一个类的n-D哈密尔顿保守的混乱系统与三终端的memristor:建模,动态分析和FPGA实施
Ye Yuan1, Fei Yu1, Bohong Tan1
1School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, China.
Chaos (Woodbury, N.Y.)
|January 9, 2025
概括
研究人员通过将三端记忆器纳入哈密尔顿系统,开发出了一种新类的记忆性哈密尔顿保守混沌系统 (MHCCS). 这些MHCCS表现出增强的混乱动态,并显示出安全通信和随机数生成中的应用的前景.
科学领域:
- 非线性动力学和混沌理论
- 记忆系统 记忆系统
- 复杂的系统复杂的系统.
背景情况:
- 已知memristors可以增强各种系统中的混乱特征.
- 由于严格的哈密尔顿系统构建要求,对记忆性的哈密尔顿保守混沌系统 (MHCCS) 的研究是有限的.
- 现有的哈密尔顿系统往往缺乏用于高级应用所需的复杂动力学.
研究的目的:
- 提出一种用于构建三终端记忆器的新方法.
- 将这些memristors集成到哈密尔顿系统中,以创建一个新的n维MHCCS类.
- 分析开发的MHCCS的动态行为和潜在应用.
主要方法:
- 开发一个三终端的memristor构造方法.
- 将memristor纳入一个哈密尔顿系统以创建n-D MHCCS.
- 4D MHCCS模型的详细动态分析,包括依赖参数的混乱和多稳定性.
- 使用NIST测试验证伪随机数发生器性能.
- 使用现场可编程门阵列 (FPGA) 对物理可实现性的实验验证.
主要成果:
- 成功开发了一种新型的n-D MHCCS类.
- 4D MHCCS模型表现出复杂的动态:保守性,对称性,依赖参数的混乱,极端的多稳定性和广泛的混乱.
- 由于memristor集成,MHCCS保留了保守的特性,同时表现出增强的混乱特性.
- 基于MHCCS的伪随机数发生器表现出极好的随机性.
- 通过FPGA实验证实了物理可实现性.
结论:
- 与传统的保守系统相比,拟议的MHCCS提供了增强的非线性动态和混乱行为.
- 开发的MHCCS作为各种混乱嵌入式系统的有效源.
- 潜在的应用包括安全通信,加密系统和伪随机数生成器.
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