Article
Mathematics, Interdisciplinary Applications
Shaohui Yan, Yu Ren, Binxian Gu, Qiyu Wang, Ertong Wang
Summary: In this paper, a four-dimensional chaotic system based on a flux-controlled memristor with a cosine function is constructed. It has infinitely many equilibria. The distribution of infinitely many single-wing and double-wing attractors along the u-coordinate is obtained by changing the initial values of the system and keeping the parameters constant, verifying the initial-offset boosting behavior of the system. Additionally, the complex dynamical behavior of the system is studied in detail through various analysis techniques, and the proposed chaotic system is applied to image encryption and shows good security performance.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2023)
Article
Physics, Applied
Xiaoxia Li, Dongjie Liu, Chi Zheng, Xiaopeng Xue, Guizhi Xu
Summary: In this paper, a new unified 5D four-wing hyperchaotic system based on dual memristors is proposed, which has four cases and exhibits three different structures of four-wing attractors. The dynamic behavior and initial boosting behavior of one of these cases are studied. It is found that the system has a space equilibrium and can exhibit the two groups of extreme multistability phenomenon. The feasibility of the new system is verified through circuit simulation.
MODERN PHYSICS LETTERS B
(2022)
Article
Engineering, Electrical & Electronic
Qiang Lai, Zhiqiang Wan, Paul Didier Kamdem Kuate
Summary: A novel flux-controlled memristor model is established in this paper, and memristive HNNs are constructed which can generate multiple chaotic attractors. The generation mechanism of grid multi-double-scroll chaotic attractors is revealed through equilibrium point analysis. Numerical simulations confirm the presence of complex dynamics in the memristive HNNs and provide a physical approach to realize the attractors. Furthermore, an encryption scheme is designed to demonstrate the application potential of the proposed memristive HNN.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Engineering, Multidisciplinary
Minghong Qin, Qiang Lai
Summary: This paper studies an expanded multi-scroll chaotic system and explores its dynamic characteristics and synchronization control. It also proposes an image encryption algorithm for remote sensing images with high security.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Mathematics, Applied
Chunbiao Li, Guanrong Chen, Juergen Kurths, Tengfei Lei, Zuohua Liu
Summary: Complex dynamic evolution may stem from parameter-controlled bifurcation or initial-condition-oriented multistability. Enhancing the offset of any attractor in a system can be achieved by introducing a constant or nudging an initial condition, and designing a piecewise-linear function is crucial for transporting desired attractors.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2021)
Article
Engineering, Electrical & Electronic
Hairong Lin, Chunhua Wang, Yichuang Sun, Ting Wang
Summary: This paper presents a novel method for generating n-scroll chaotic attractors. It models a magnetized Hopfield neural network (HNN) with three neurons by introducing an improved multi-piecewise memristor to describe the effect of electromagnetic induction. Theoretical analysis and numerical simulation demonstrate that the memristor-based magnetized HNN can generate multi-scroll chaotic attractors with any number of scrolls, which can be easily adjusted by controlling the memristor parameters. Additionally, complex initial offset boosting behavior is observed in the magnetized HNN. The designed magnetized HNN circuit is capable of generating various typical attractors.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Automation & Control Systems
Yongxin Li, Chunbiao Li, Tengfei Lei, Yong Yang, Guanrong Chen
Summary: A discrete memristor is introduced into the Rulkov neuron to mimic biological neuronal synapse and modify firing dynamics. Chaotic firing with local amplitude control is obtained in the memristive Rulkov neuron, where the range of chaotic bursting can be modified by two independent controllers. Offset boosting-entangled complex dynamics are captured, indicating the coexistence of homogeneous and heterogeneous multistabilities.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Hardware & Architecture
Hairong Lin, Chunhua Wang, Cong Xu, Xin Zhang, Herbert H. C. Iu
Summary: In this article, a novel method for designing multistructure chaotic attractors in memristive neural networks is proposed. By utilizing a multipiecewise memristive synapse control in a Hopfield neural network (HNN), various complex multistructure chaotic attractors can be produced. Theoretical analysis and numerical simulation demonstrate that multiple multistructure chaotic attractors with different topologies can be generated by conducting the memristive synapse-control in different synaptic coupling positions. Meanwhile, the number of structures can be easily controlled with the memristor control parameters. Furthermore, a module-based analog memristive neural network circuit is designed, allowing the arbitrary number of multistructure attractors to be obtained by selecting corresponding control voltages. Finally, a novel image encryption cryptosystem with a permutation-diffusion structure is designed and evaluated, exhibiting its excellent encryption performances, especially the extremely high key sensitivity.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2023)
Article
Physics, Multidisciplinary
Sheng-Hao Jia, Yu-Xia Li, Qing-Yu Shi, Xia Huang
Summary: A novel memristor-based multi-scroll hyperchaotic system is proposed, and a new method for generating multi-scroll hyperchaotic attractors using a voltage-controlled memristor and a modulating sine nonlinear function is introduced. Experimental results show that the system can generate multiple coexisting hyperchaotic attractors with different topological structures.
Article
Mathematics, Interdisciplinary Applications
Hairong Lin, Chunhua Wang, Sichun Du, Wei Yao, Yichuang Sun
Summary: In this paper, a simplified multi-piecewise memristor is used to design a family of memristive multibutterfly chaotic systems (MMBCSs). Three MMBCSs are constructed by coupling different numbers of the simplified multi-piecewise memristors into a modified Sprott C system. The constructed MMBCSs can generate connected and unconnected 1D, 2D, and 3D multibutterfly chaotic attractors, and the number and position of butterfly attractors can be easily controlled.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Interdisciplinary Applications
Chuanhong Du, Licai Liu, Zhengping Zhang, Shixing Yu
Summary: This paper presents a Wien-Bridge circuit designed based on a voltage-controlled memristor to achieve amplitude and offset boosting control of chaotic signals. The system exhibits both linear and nonlinear behaviors and coexisting symmetric attractors and bistability.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Physics, Multidisciplinary
Sen Fu, Xia Wang, Haiyang Gu, Xiaojing Cao, Zhengjun Yao
Summary: This paper proposes a new nonvolatile magnetic-controlled memristor and uses it to simulate the effect of membrane flux changes caused by neuronal exposure to electromagnetic radiation. A series of complex chaotic phenomena are found, including multi-scroll chaotic attractors controlled by memristors, symmetric bifurcation behavior, and coexistence phenomena enhanced by initial offset. A dual memristive HNN (MHNN) coupling synchronization model is proposed to simulate the synchronization between regions within the human brain, and the feasibility of this synchronization scheme is verified through simulation experiments.
FRONTIERS IN PHYSICS
(2023)
Article
Mathematics, Interdisciplinary Applications
Mo Chen, Ankai Wang, Chao Wang, Huagan Wu, Bocheng Bao
Summary: This paper proposes a DC-offset method for obtaining hidden dynamics in preexisting nonlinear circuits. An improved memristive Chua's circuit with hidden behaviors is constructed, and the hidden and asymmetric dynamical behaviors induced by the DC-offset are revealed and verified. The measurements of hidden and coexisting attractors with relatively small attraction basins are facilitated by a reconstituted model.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Engineering, Electrical & Electronic
Chuanhong Du, Licai Liu, Zhengping Zhang, Shixing Yu
Summary: This study constructs a high-dimensional memristive conservative system, which exhibits a variety of topological structures and offset boosting behaviors compared to existing systems. The research also reveals the route to transient chaos in conservative systems.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Nune Pratyusha, Santanu Mandal
Summary: The research on dissipative-chaotic systems has yielded significant results, but attackers can quickly rebuild the attractors, leading to information security issues. Conservative chaotic systems can prevent external attacks due to the absence of attractors, making their study crucial for secure communications and engineering applications. This paper proposes a non-autonomous hyperchaotic conservative system without an equilibrium point, exploring its behavior and offset boosting. An analog circuit is developed to verify the numerical model, and a new algorithm for image encryption using the proposed hyperchaotic map is demonstrated to be efficient through security tests.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Mathematics, Applied
Sen Zhang, Xiaoping Wang, Zhigang Zeng
Article
Mathematics, Applied
Sen Zhang, Jiahao Zheng, Xiaoping Wang, Zhigang Zeng
Summary: This study presents a novel non-equilibrium Hindmarsh-Rose neuron model with memristive electromagnetic radiation effect. Through numerical simulations and hardware experiments, it is demonstrated that this model exhibits complex dynamics and high security, making it suitable for real-world applications.
Article
Engineering, Electrical & Electronic
Sen Zhang, Chunbiao Li, Jiahao Zheng, Xiaoping Wang, Zhigang Zeng, Guanrong Chen
Summary: A novel memristive Sprott A system (MSAS) is introduced in this paper, constructed through a memristor coupling method to generate multiple hidden attractors, showcasing both heterogeneous and homogeneous multistabilities. Hardware experiments confirm the feasibility and effectiveness of the MSAS and the memristor coupling method, with a new pseudo-random number generator (PRNG) proposed for practical applications, demonstrating high-quality randomness.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Automation & Control Systems
Yongxin Li, Chunbiao Li, Sen Zhang, Guanrong Chen, Zhigang Zeng
Summary: In this article, sinusoidal functions are introduced to a discrete map for hyperchaos generation and attractor self-reproduction. The results are verified with numerical simulation and theoretical analysis, showing the high performance in application.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Automation & Control Systems
Sen Zhang, Chunbiao Li, Jiahao Zheng, Xiaoping Wang, Zhigang Zeng, Guanrong Chen
Summary: This article proposes a novel memristive autapse-coupled neuron model (MACNM) that can mimic biological neuronal synapses and describe the influence of external electromagnetic radiation. The MACNM is capable of generating multiple numbers of grid multiscroll hidden attractors and exhibits rich and complex hidden firing dynamics, including periodic spiking/bursting firing and chaotic spiking/bursting firing. Furthermore, it shows the phenomenon of hidden homogeneous multistability, where five coexisting homogeneous chaotic bursting firing patterns with different offsets along the boosting route are discovered. The physical feasibility of the MACNM is verified through circuit design.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou, Chun Yang, Xu-Cheng Yin
Summary: This article proposes a kernel proposal network (KPN) for arbitrary shape text detection, which can separate neighboring text instances by classifying different texts into instance-independent feature maps. The proposed network introduces a dynamic convolution kernel strategy to efficiently and effectively tackle the adhesion problem of neighboring text instances in text detection.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Engineering, Biomedical
Chao Yang, Xiaoping Wang, Zhanfei Chen, Sen Zhang, Zhigang Zeng
Summary: This article proposes an OC-CC cascaded circuit that simulates biological learning and adaptation capabilities. By using OC and CC circuits, the circuit achieves bio-like functions and can perform online learning and computing. The simulation results demonstrate the advantages of the circuit in power consumption and hardware overhead, providing a feasible approach for large-scale bionic learning.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2022)
Article
Computer Science, Information Systems
Aceng Sambas, Sundarapandian Vaidyanathan, Xuncai Zhang, Ismail Koyuncu, Talal Bonny, Murat Tuna, Murat Alcin, Sen Zhang, Ibrahim Mohammed Sulaiman, Aliyu Muhammed Awwal, Poom Kumam
Summary: This paper presents a new three-dimensional chaotic system with line equilibrium and discusses its dynamic properties. It also proposes new synchronization results based on integral sliding mode control and demonstrates the implementation of the chaotic system using an electronic circuit and FPGA. Furthermore, an image encryption algorithm is proposed and its effectiveness is validated through experiments.
Article
Mathematics, Interdisciplinary Applications
Sen Zhang, Jiahao Zheng, Xiaoping Wang, Zhigang Zeng, Xuenan Peng
Summary: This paper introduces a novel nonideal flux-controlled memristor model for creating memristive chaotic systems, showcasing the formation mechanism of multi-double-scroll and multi-double-wing chaotic attractors. The proposed memristor model demonstrates better randomness in generating chaotic binary sequences compared to the renowned Lorenz system.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2021)