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A Self-Reproduction Hyperchaotic Map With Compound Lattice Dynamics

  • Yongxin Li
  • , Chunbiao Li*
  • , Sen Zhang
  • , Guanrong Chen
  • , Zhigang Zeng
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

In this paper, sinusoidal functions are introduced to a discrete map for hyperchaos generation and attractor self-reproduction. The constructed map shares a unique structure with controllable symmetry and conditional symmetry, which exhibits compound lattice dynamics, including 1-D and 2-D attractor growth. The direction of attractor growth can be controlled under polarity balance. STM32-based circuit realization verifies the results with numerical simulation and theoretical analysis. A pseudo-random number generator is built finally based on the newly proposed hyperchaotic map proving the high performance in application.
Original languageEnglish
Pages (from-to)10564-10572
JournalIEEE Transactions on Industrial Electronics
Volume69
Issue number10
Online published25 Jan 2022
DOIs
Publication statusPublished - Oct 2022

Research Keywords

  • Artificial intelligence
  • Attractor growth
  • attractor self-reproduction (ASR)
  • Chaotic communication
  • Compounds
  • Eigenvalues and eigenfunctions
  • Generators
  • hyperchaotic map
  • lattice dynamics
  • Lattices
  • Trajectory

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