四种新型双离散 Memristor 耦合超混沌映射

Shaohua Zhang, Cong Wang, Hongli Zhang
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引用次数: 0

摘要

与基于连续忆阻器的高维超混沌系统不同,由离散忆阻器(DM)和传统混沌图耦合的低维图也能产生超混沌。然而,由两个忆阻器构建的超混沌图尚未引起广泛关注。为此,本文报告了一种广义的二维双DM耦合超混沌映射模型,并提供了四种具体的映射。所提出的映射具有线不变点,可解释为允许与 DM 相关的初始条件为任意实值,并对其稳定性进行了详细研究。此外,还通过数值模拟研究了四个映射的耦合强度依赖性和初始条件依赖性复合动力学,并从定量分析的角度评估了其动力学性能。结果表明,所考虑的映射能够在任意参数空间中展现出忆阻器的三个特征指纹,这一特性首次引起了人们的关注。特别是,通过变量替换对所考虑的映射进行完全控制,可以产生任意切换的超混沌行为。此外,还根据所提出的映射设计了四种伪随机数发生器,并使用 NIST SP800-22 软件测试了随机性。总的来说,所提出的映射不仅能产生丰富的动态行为,还能丰富 DM 电路,为基于混沌的应用提供参考。最后,开发的数字硬件电路实现平台验证了数值方法的结果。
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Four Novel Dual Discrete Memristor-Coupled Hyperchaotic Maps
Unlike the high-dimensional hyperchaotic system based on a continuous memristor, the low-dimensional map coupled by discrete memristor (DM) and traditional chaotic map can also generate hyperchaos. However, the hyperchaotic map constructed by two DMs has not attracted much attention. To this end, a generalized two-dimensional dual DM-coupled hyperchaotic mapping model is reported in this paper, and four specific maps are provided. The proposed maps have line invariant points, which can be interpreted as allowing arbitrary real values for the initial condition associated with the DM, and the stability is investigated in detail. Furthermore, the coupling strength-dependent and initial condition-dependent complex dynamics of four maps are studied by numerical simulations, and the dynamical performance is evaluated from the perspective of quantitative analysis. It is shown that the considered maps are capable of exhibiting the three characteristic fingerprints of memristors in arbitrary parameter spaces, and this characteristic has gained attention for the first time. In particular, the complete control of the considered maps by variable substitution is performed, which can generate arbitrary switched hyperchaotic behaviors. In addition, four pseudo-random number generators are designed based on the proposed maps, and the randomness is tested by using the NIST SP800-22 software. In general, the proposed maps can not only generate abundant dynamical behaviors, but also enrich the DM circuits and provide a reference for applications based on chaos. Finally, the developed digital hardware circuit implementation platform verifies the results of the numerical method.
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