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Complexity Analysis of a Mixed Memristive Chaotic Circuit

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  • Xiaolin Ye
  • Jun Mou
  • Chunfeng Luo
  • Feifei Yang
  • Yinghong Cao

Abstract

In this paper, we design a chaotic circuit with memristors, which consists of two flux-controlled memristors and a charge-controlled memristor, and the dimensionless mathematical model of the circuit was established. Using the conventional dynamic analysis methods, the equilibrium point set and stability of the chaotic system were analyzed, and the distribution of stable and unstable regions corresponding to the memristor initial states was determined. Then, we analyze the dynamical behaviors with the initial states of the memristors and the circuit parameter of the circuit system, respectively. By using spectral entropy (SE) and C 0 complexity algorithms, the dynamic characteristics of the system were analyzed. In particular, the 2D and 3D complexity characteristics with multiple varying parameters were analyzed. Some peculiar physical phenomenon such as coexisting attractors was observed. Theoretical analysis and simulation results show that the chaotic circuit has rich dynamical behaviors. The complicated physical phenomenon in the new chaotic circuit enriches the related content of chaotic circuit with memristors.

Suggested Citation

  • Xiaolin Ye & Jun Mou & Chunfeng Luo & Feifei Yang & Yinghong Cao, 2018. "Complexity Analysis of a Mixed Memristive Chaotic Circuit," Complexity, Hindawi, vol. 2018, pages 1-9, November.
    • Handle: RePEc:hin:complx:8639470
    DOI: 10.1155/2018/8639470
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    Cited by:

    1. Ding, Dawei & Chen, Xiaoyu & Yang, Zongli & Hu, Yongbing & Wang, Mouyuan & Zhang, Hongwei & Zhang, Xu, 2022. "Coexisting multiple firing behaviors of fractional-order memristor-coupled HR neuron considering synaptic crosstalk and its ARM-based implementation," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).

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