Dynamical analysis of a novel 2D Lyapunov exponent controllable memristive chaotic map

The proposal of discrete memristors has made memristive chaotic maps based on them an important research topic. In this study, a new two-dimensional chaotic map without fixed points is constructed, and numerical simulation results display its rich dynamical behaviors. The analysis reveals the map's center inversion symmetry and Lyapunov exponent controller. The map exhibits complex dynamical behaviors, including memristor initial-boosting and single-parameter-offset boosting. Embedding the absolute value function within the memristor results in the emergence of localized boosting-free regions. Moreover, a class of multicavity transients is captured that greatly enhances the system's complexity. Ultimately, this map is implemented on the STM32 platform, demonstrating its practical applicability in potential practical application scenarios.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2024-08-01
DOI
https://doi.org/10.1063/5.0187297
Citations
17
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
3.55

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article

Dynamical analysis of a novel 2D Lyapunov exponent controllable memristive chaotic map

Bo Liang, Canling Jian, Chenyang Hu, Jianchuan Zhao et al.
17 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Advanced Memory and Neural Computing
3.55
article

Dynamical analysis of a novel 2D Lyapunov exponent controllable memristive chaotic map

Bo Liang, Canling Jian, Chenyang Hu, Jianchuan Zhao, Zean Tian, Kunshuai Li, Qiao Wang, Quan Zheng
article en
17 citations

Abstract

The proposal of discrete memristors has made memristive chaotic maps based on them an important research topic. In this study, a new two-dimensional chaotic map without fixed points is constructed, and numerical simulation results display its rich dynamical behaviors. The analysis reveals the map's center inversion symmetry and Lyapunov exponent controller. The map exhibits complex dynamical behaviors, including memristor initial-boosting and single-parameter-offset boosting. Embedding the absolute value function within the memristor results in the emergence of localized boosting-free regions. Moreover, a class of multicavity transients is captured that greatly enhances the system's complexity. Ultimately, this map is implemented on the STM32 platform, demonstrating its practical applicability in potential practical application scenarios.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 34(8)
Hunan University (CN), Guizhou University (CN), Guizhou Education University (CN)
Guizhou Education Department Youth Science and Technology Talents Growth Project
Openalex Percentile: Top 7%
Advanced Memory and Neural Computing
3.55
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