Dynamic Analysis and FPGA Implementation of a New Linear Memristor-Based Hyperchaotic System with Strong Complexity

Author:

Chen Lijuan12,Yu Mingchu1,Luo Jinnan3,Mi Jinpeng24,Shi Kaibo5ORCID,Tang Song24

Affiliation:

1. Kaiserslautern Intelligent Manufacturing School, Shanghai Dianji University, Shanghai 201306, China

2. TAMS Group, Department of Informatics, Universität Hamburg, 20148 Hamburg, Germany

3. College of Electrical Engineering, Southwest Minzu University, Chengdu 610041, China

4. IMI Group, University of Shanghai for Science and Technology, Shanghai 200093, China

5. School of Information Science and Engineering, Chengdu University, Chengdu 610106, China

Abstract

Chaotic or hyperchaotic systems have a significant role in engineering applications such as cryptography and secure communication, serving as primary signal generators. To ensure stronger complexity, memristors with sufficient nonlinearity are commonly incorporated into the system, suffering a limitation on the physical implementation. In this paper, we propose a new four-dimensional (4D) hyperchaotic system based on the linear memristor which is the most straightforward to implement physically. Through numerical studies, we initially demonstrate that the proposed system exhibits robust hyperchaotic behaviors under typical parameter conditions. Subsequently, we theoretically prove the existence of solid hyperchaos by combining the topological horseshoe theory with computer-assisted research. Finally, we present the realization of the proposed hyperchaotic system using an FPGA platform. This proposed system possesses two key properties. Firstly, this work suggests that the simplest memristor can also induce strong nonlinear behaviors, offering a new perspective for constructing memristive systems. Secondly, compared to existing systems, our system not only has the largest Kaplan-Yorke dimension, but also has clear advantages in areas related to engineering applications, such as the parameter range and signal bandwidth, indicating promising potential in engineering applications.

Funder

National Natural Science Foundation of China

Southwest Minzu University Research Startup Funds

Sichuan Science and Technology Program

Project of Qinghai-Tibetan Plateau Research in Southwest Minzu University

Shanghai SAST Funding

Publisher

MDPI AG

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3. Two-dimensional modular chaotification system for improving chaos complexity;Hua;IEEE Trans. Signal Process.,2020

4. Resilient Synchronization of Neural Networks Under DoS Attacks and Communication Delays via Event-Triggered Impulsive Control;Bao;IEEE Trans. Syst. Man, Cybern. Syst.,2024

5. Mid-infrared hyperchaos of interband cascade lasers;Deng;Light. Sci. Appl.,2022

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