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Memristor-Based Canonical Chua's Circuit: Extreme Multistability in Voltage-Current Domain and Its Controllability in Flux-Charge Domain

机译:基于Memristor的CANONICAL CHUA电路:电压 - 电流域中的极端多个能力及其在磁通充电域中的可控性

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摘要

This paper investigates extreme multistability and its controllability for an ideal voltage-controlled memristor emulator-based canonical Chua's circuit. With the voltage-current model, the initial condition-dependent extreme multistability is explored through analyzing the stability distribution of line equilibrium point and then the coexisting infinitely many attractors are numerically uncovered in such a memristive circuit by the attraction basin and phase portraits. Furthermore, based on the accurate constitutive relation of the memristor emulator, a set of incremental flux-charge describing equations for the memristor-based canonical Chua's circuit are formulated and a dimensionality reduction model is thus established. As a result, the initial condition-dependent dynamics in the voltage-current domain is converted into the system parameter-associated dynamics in the flux-charge domain, which is confirmed by numerical simulations and circuit simulations. Therefore, a controllable strategy for extreme multistability can be expediently implemented, which is greatly significant for seeking chaos-based engineering applications of multistable memristive circuits.
机译:本文研究了极端的多功率和其对理想的电压控制膜仿真器的Canonical Chua电路的可控性。利用电压电流模型,通过分析线平衡点的稳定性分布,探讨了初始条件相关的极端多重性,然后通过吸引力池和相位肖像在这种忆廓电路中对许多吸引子共存时的共存。此外,基于忆阻器仿真器的精确构成关系,制定了一组增量磁通量,描述了基于忆晶的规范Chua电路的方程,因此建立了维数减少模型。结果,电压电流域中的初始条件相关的动态被转换为磁通充电域中的系统参数相关动态,这通过数值模拟和电路模拟确认。因此,可以有利地实现了用于极端多个能力的可控策略,这对于寻求基于混沌的多铭存储电路的工程应用是大大的。

著录项

  • 来源
    《Complexity》 |2018年第1期|共13页
  • 作者单位

    Changzhou Univ Sch Informat Sci &

    Engn Changzhou 213164 Peoples R China;

    Changzhou Univ Sch Informat Sci &

    Engn Changzhou 213164 Peoples R China;

    Changzhou Univ Sch Informat Sci &

    Engn Changzhou 213164 Peoples R China;

    Changzhou Univ Sch Informat Sci &

    Engn Changzhou 213164 Peoples R China;

    Changzhou Univ Sch Informat Sci &

    Engn Changzhou 213164 Peoples R China;

    Changzhou Univ Sch Informat Sci &

    Engn Changzhou 213164 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大系统理论;
  • 关键词

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