A class of memristive Hénon maps

Abstract Memristor, the electronic component, is introduced in the Hénon map and is studied extensively. Several chaotic maps are proposed by constructing the memristors through nonlinear functions such as absolute value functions, trigonometric functions, and activation functions. It is found that in a part of the proposed chaotic maps, the local offset boosting of the system variable can be guided by a single parameter. Not only that, the generation of homogeneous multistability can be controlled by the initial conditions of the systems. Moreover, the number of homogeneous attractors produced changes when the system parameters are varied. In addition, the control of chaos can be achieved by adjusting the excitation fRequency of the memristor. The theoretical results and numerical laws presented in this paper are verified by circuit implementation based on the microcontroller unit.

Authors

Institutions

Publication Details

Journal
Physica Scripta
Published
2024-08-21
DOI
https://doi.org/10.1088/1402-4896/ad71fe
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A class of memristive Hénon maps

Zhihao Wang, Irene M. Moroz, Chunbiao Li, Haiyan Fu et al.
1 citations
Physica Scripta
Advanced Memory and Neural Computing
0.21
article

A class of memristive Hénon maps

Zhihao Wang, Irene M. Moroz, Chunbiao Li, Haiyan Fu, Yongxin Li
article en
1 citations

Abstract

Abstract Memristor, the electronic component, is introduced in the Hénon map and is studied extensively. Several chaotic maps are proposed by constructing the memristors through nonlinear functions such as absolute value functions, trigonometric functions, and activation functions. It is found that in a part of the proposed chaotic maps, the local offset boosting of the system variable can be guided by a single parameter. Not only that, the generation of homogeneous multistability can be controlled by the initial conditions of the systems. Moreover, the number of homogeneous attractors produced changes when the system parameters are varied. In addition, the control of chaos can be achieved by adjusting the excitation fRequency of the memristor. The theoretical results and numerical laws presented in this paper are verified by circuit implementation based on the microcontroller unit.

Physica ScriptaVol. 99(10)
Qilu University of Technology (CN), Nanjing University of Information Science and Technology (CN), University of Oxford (GB), Mathematical Institute of the Slovak Academy of Sciences (SK)
National Natural Science Foundation of China
Openalex Percentile: Top 49%
Advanced Memory and Neural Computing
0.21
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.