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Memristor-Coupled Logistic Hyperchaotic Map

  • Bocheng Bao
  • , Kang Rong
  • , Houzhen Li
  • , Kexin Li
  • , Zhongyun Hua
  • , Xi Zhang*
  • *Corresponding author for this work
  • Changzhou University
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The continuous memristor models have been applied to various chaotic circuits. However, the discrete memristor models and their applications to discrete maps haven't attracted much attention, yet. In this brief, we first present a discrete memristor model and analyze its characteristics. By coupling the model into the Logistic map, a memristive Logistic map is further achieved. Due to the existence of line fixed point, the memristive Logistic map can be unstable or critically stable, depending on its control parameters and initial state. Using several analysis methods, we study the control parameters-relied dynamical behaviors of the memristive Logistic map and disclose its hyperchaotic attractors. The numerical results show that the discrete memristor can efficiently improve the chaos complexity in the Logistic map. In addition, digital experiments are designed to validate the numerical results.

Original languageEnglish
Article number9400468
Pages (from-to)2992-2996
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume68
Issue number8
DOIs
StatePublished - Aug 2021
Externally publishedYes

Keywords

  • Digital experiment
  • discrete memristor
  • fixed point
  • hyperchaos
  • memristive logistic map

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