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二维忆阻超混沌映射及其不同耦合框架的硬件实现。

Two-dimensional memristive hyperchaotic maps with different coupling frames and its hardware implementation.

机构信息

School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China.

School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, WA 6009, Australia.

出版信息

Chaos. 2023 Jul 1;33(7). doi: 10.1063/5.0154516.

Abstract

Continuous-time memristors have been used in numerous chaotic circuit systems. Similarly, the discrete memristor model applied to a discrete map is also worthy of further study. To this end, this paper first proposes a discrete memristor model and analyzes the voltage-current characteristics of the memristor. Also, the discrete memristor is coupled with a one-dimensional (1D) sine chaotic map through different coupling frameworks, and two different two-dimensional (2D) chaotic map models are generated. Due to the presence of linear fixed points, the stability of the 2D memristor-coupled chaotic map depends on the choice of control parameters and initial states. The dynamic behavior of the chaotic map under different coupled map frameworks is investigated by using various analytical methods, and the results show that different coupling frameworks can produce different complex dynamical behaviors for memristor chaotic maps. The dynamic behavior based on parameter control is also investigated. The numerical experimental results show that the change of parameters can not only enrich the dynamic behavior of a chaotic map, but also increase the complexity of the memristor-coupled sine map. In addition, a simple encryption algorithm is designed based on the memristor chaotic map under the new coupling framework, and the performance analysis shows that the algorithm has a strong ability of image encryption. Finally, the numerical results are verified by hardware experiments.

摘要

连续时间忆阻器已被应用于许多混沌电路系统中。同样,应用于离散映射的离散忆阻器模型也值得进一步研究。为此,本文首先提出了一种离散忆阻器模型,并分析了忆阻器的电压-电流特性。此外,通过不同的耦合框架,将离散忆阻器与一维(1D)正弦混沌映射进行耦合,生成了两个不同的二维(2D)混沌映射模型。由于存在线性平衡点,2D 忆阻耦合混沌映射的稳定性取决于控制参数和初始状态的选择。通过各种分析方法研究了不同耦合映射框架下混沌映射的动态行为,结果表明,不同的耦合框架可以为忆阻混沌映射产生不同的复杂动力学行为。还研究了基于参数控制的动态行为。数值实验结果表明,参数的变化不仅可以丰富混沌映射的动态行为,还可以增加忆阻耦合正弦映射的复杂性。此外,基于新的耦合框架下的忆阻器混沌映射设计了一种简单的加密算法,性能分析表明该算法具有较强的图像加密能力。最后,通过硬件实验验证了数值结果。

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