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Three-Dimensional Discrete Echo-Memristor Map: Dynamic Analysis and DSP Implementation

delete2025-10-29
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OA
AI
S
Siqi Ding
K
Ke Meng
M
M Zhang
Y
Yiting Lin
C
Chunpeng Wang
Q
Qi Li *
S
Suo Gao
J
Jun Mou
DOI:10.3390/math13213442delete
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摘要

摘要

En 中文
In recent years, with the development of novel hardware such as memristors, integrating chaotic systems with hardware implementations has enabled efficient and controllable generation of chaotic signals, providing new avenues for both theoretical research and engineering applications. In this work, we propose a novel memristor-based chaotic system, named the three-dimensional discrete echo-memristor map (3D-DEMM). The 3D-DEMM is capable of generating complex dynamic behaviors with self-similar attractor structures; specifically, under different parameters and initial conditions, the system produces similar attractor shapes at different amplitudes, which we refer to as an echo chaotic map. By incorporating the discrete nonlinear characteristics of memristors, the 3D-DEMM is systematically designed. We first conduct a thorough dynamic analysis of the 3D-DEMM, including attractor visualization, Lyapunov exponents, and NIST tests, to verify its chaoticity and self-similarity. Subsequently, the attractors of the 3D-DEMM are captured on a DSP platform, demonstrating discrete-time hardware simulation and real-time operation. Experimental results show that the proposed system not only exhibits highly controllable chaotic behavior but also demonstrates strong robustness in maintaining amplitude-invariant attractor shapes, providing a new theoretical and practical approach for memristor-based chaotic signal generation and applications in information security.
Keyword:
memristor
chaotic system
self-similar attractor
DSP implementation

期刊

Mathematics 封面图
Mathematics
IF:
2.2
论文数:
2.9K
被引数:
3.6W

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dalian university of technology
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Hong Kong Baptist University
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dalian polytechnic university
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