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中国物理学会期刊

一个具有超级多稳定性的忆阻混沌系统的分析与FPGA实现

CSTR: 32037.14.aps.71.20221423

Analysis and FPGA implementation of memristor chaotic system with extreme multistability

CSTR: 32037.14.aps.71.20221423
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  • 为了进一步提高混沌系统的复杂性, 用磁控忆阻器代替基于Sprott-B的四维混沌系统中的耦合参数, 构建了一个五维忆阻混沌系统. 通过分岔图、李雅普诺夫指数谱、相轨图、庞加莱映射等常规手段分析了系统的动力学行为. 分析表明新系统具有丰富的动力学行为: 不仅存在依赖于系统参数变化的周期极限环和混沌吸引子, 还存在依赖于忆阻初始条件变化的无限多共存吸引子的超级多稳定现象. 最后, 基于现场可编程门阵列(FPGA)技术实现了忆阻混沌系统的数字电路, 在示波器上捕捉到的相图与数值仿真一致, 验证了忆阻系统的正确性与可实现性.

     

    The memristor is a kind of nonlinear element with nanometer size, which can enhance the complexity of a chaotic system. With the further research of chaos, several novel nonlinear phenomena have been found by scholars, such as hidden attractors, coexisting attractors and multi-stability. Meanwhile, the extremely multi-stability representation system coexists with the infinite attractors, which has become a hot spot in the field of memristor chaos research in recent years. A general method to construct a chaotic systems of multiple coexistence is to increase the number of equilibrium points of chaotic system by means of control. The introduction of memristor results in the linear distribution of the equilibrium points of chaotic system in space, which are the linear equilibrium points. The existing researches show that chaotic system with extremely multi-stability can produce better chaotic sequence, which can be used in engineering fields such as secure communication. Therefore, it is of great significance to construct chaotic systems with rich dynamic behaviors by using memristors.
    In order to further improve the complexity of the chaotic system, a five-dimensional memristor chaotic system is constructed by replacing the coupling parameters in the four-dimensional chaotic system based on Sprott-B with a magnetically controlled memristor. The dynamic behavior of the system is analyzed by bifurcation diagram, Lyapunov exponent spectrum, phase portrait, Poincaré map, dynamic map and other conventional means. The analysis shows that the new system has rich dynamic behaviors: when the system parameters change, the system can produce a large number of chaotic attractors with different topological structures and periodic limit cycles with different periods. When different parameters change, the dynamic characteristics of the system also change; when the system parameters are fixed, the system not only has an offset enhancement phenomenon that depends on the change of the initial conditions, but also shows a very strong sensitivity to the initial values and a great adjustment range of the initial values, which leads the infinite chaos and periodic attractors to coexist, namely extremely multi-stability appears. Finally, the digital circuit of the memristor chaotic system is implemented based on the field programmable gate array (FPGA) technology. The phase portrait captured on the oscilloscope is consistent with that from the numerical simulation, which verifies the correctness and realizability of the memristor system.

     

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