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Network Analysis of Chaotic Dynamics in Fixed-precision Digital Domain

  • Chengqing Li*
  • , Jinhu Lu
  • , Guanrong Chen
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

When implemented in the digital domain with time, space and value discretized in the binary form, many good dynamical properties of chaotic systems in continuous domain may be degraded or even diminish. To measure the dynamic complexity of a digital chaotic system, the dynamics can be transformed to the form of a state-mapping network. Then, the parameters of the network are verified by some typical dynamical metrics of the original chaotic system in infinite precision, such as Lyapunov exponent and entropy. This article reviews some representative works on the network-based analysis of digital chaotic dynamics and presents a general framework for such analysis, unveiling some intrinsic relationships between digital chaos and complex networks. As an example for discussion, the dynamics of a state-mapping network of the Logistic map in a fixed-precision computer is analyzed and discussed.
Original languageEnglish
Title of host publication2019 IEEE International Symposium on Circuits and Systems (ISCAS) - Proceedings
PublisherIEEE
ISBN (Print)9781728103976
DOIs
Publication statusPublished - May 2019
Event2019 IEEE International Symposium on Circuits and Systems (ISCAS 2019) - Sapporo, Japan
Duration: 26 May 201929 May 2019
https://www.iscas2019.org/index.html
https://ieeexplore.ieee.org/xpl/conhome/8682239/proceeding

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2019-May
ISSN (Print)0271-4310
ISSN (Electronic)2158-1525

Conference

Conference2019 IEEE International Symposium on Circuits and Systems (ISCAS 2019)
PlaceJapan
CitySapporo
Period26/05/1929/05/19
Internet address

Research Keywords

  • arithmetic domain
  • chaotic cryptography
  • chaotic dynamics
  • Logistic map
  • state-mapping network

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