A novel non-autonomous hyperchaotic map based on discrete memristor parallel connection

Abstract Since the method of discretizing memristors was proposed, discrete memristors (DMs) have become a very important topic in recent years. However, there has been little research on non-autonomous discrete memristors (NDMs) and their applications. Therefore, in this paper, a new NDM is constructed, and a non-autonomous hyperchaotic map is proposed by connecting this non-autonomous memristor in parallel with an autonomous memristor. This map exhibits complex dynamical behaviors, including infinitely many fixed points, initial-boosted attractors, initial-boosted bifurcations, and the size of the attractors being controlled by the initial value. In addition, a simple pseudo-random number generator (PRNG) was designed using the non-autonomous hyperchaotic map, and the pseudo-random numbers (PRNs) generated by it were tested using the National Institute of Standards and Technology (NIST) SP800-22 test suite. Finally, the non-autonomous hyperchaotic map is implemented on the STM32 hardware experimental platform.

Authors

Institutions

Publication Details

Journal
Chinese Physics B
Published
2025-02-21
DOI
https://doi.org/10.1088/1674-1056/adb8bc
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel non-autonomous hyperchaotic map based on discrete memristor parallel connection

Qigui Yang, Weiping Wu, Mengjiao Wang
1 citations
Chinese Physics B
Advanced Memory and Neural Computing
0.73
article

A novel non-autonomous hyperchaotic map based on discrete memristor parallel connection

Qigui Yang, Weiping Wu, Mengjiao Wang
article en
1 citations

Abstract

Abstract Since the method of discretizing memristors was proposed, discrete memristors (DMs) have become a very important topic in recent years. However, there has been little research on non-autonomous discrete memristors (NDMs) and their applications. Therefore, in this paper, a new NDM is constructed, and a non-autonomous hyperchaotic map is proposed by connecting this non-autonomous memristor in parallel with an autonomous memristor. This map exhibits complex dynamical behaviors, including infinitely many fixed points, initial-boosted attractors, initial-boosted bifurcations, and the size of the attractors being controlled by the initial value. In addition, a simple pseudo-random number generator (PRNG) was designed using the non-autonomous hyperchaotic map, and the pseudo-random numbers (PRNs) generated by it were tested using the National Institute of Standards and Technology (NIST) SP800-22 test suite. Finally, the non-autonomous hyperchaotic map is implemented on the STM32 hardware experimental platform.

Chinese Physics BVol. 34(5)
Guangdong Polytechnic Normal University (CN), Xiangtan University (CN), South China University of Technology (CN)
Partnerships for the goals
Openalex Percentile: Top 31%
Advanced Memory and Neural Computing
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.