A locally active discrete memristor model and its application in a hyperchaotic map

Minglin Ma, Yang Yang, Zhicheng Qiu, Yuexi Peng, Yichuang Sun, Zhijun Li, Mengjiao Wang

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The continuous memristor is a popular topic of research in recent years, however, there is rare discussion about the discrete memristor model, especially the locally active discrete memristor model. This paper proposes a locally active discrete memristor model for the first time and proves the three fingerprints characteristics of this model according to the definition of generalized memristor. A novel hyperchaotic map is constructed by coupling the discrete memristor with a two-dimensional generalized square map. The dynamical behaviors are analyzed with attractor phase diagram, bifurcation diagram, Lyapunov exponent spectrum, and dynamic behavior distribution diagram. Numerical simulation analysis shows that there is significant improvement in the hyperchaotic area, the quasi-periodic area and the chaotic complexity of the two-dimensional map when applying the locally active discrete memristor. In addition, antimonotonicity and transient chaos behaviors of system are reported. In particular, the coexisting attractors can be observed in this discrete memristive system, resulting from the different initial values of the memristor. Results of theoretical analysis are well verified with hardware experimental measurements. This paper lays a great foundation for future analysis and engineering application of the discrete memristor and relevant the study of other hyperchaotic maps.
Original languageEnglish
Number of pages19
JournalNonlinear Dynamics
Publication statusPublished - 23 Jan 2022


  • Chaotic map
  • Coexisting attractors
  • Discrete memristor
  • Hyperchaos
  • Locally active


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