RC Bridge Oscillation Memristor Chaotic Circuit for Electrical and Electronic Technology Extended Simulation Experiment

Dou, Gang; Zhang, Yongcheng; Yang, Hai; Han, Mingqiao; Guo, Mei; Gai, Wendong

doi:10.3390/mi14020410

Cited by 7 publications

(4 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An oscillator circuit via connecting a nonvolatile locally active memristor to other components was constructed by Li and complex phenomena such as multivolume attractors and symmetric coexisting attractors was discovered [18]. The RC bridge oscillation chaotic circuit based on the flux-controlled memristor was designed and the dynamical analyses showed that there are many different types of attractors coexisting in the system [19]. A multi-segmented memristor was introduced by Zhang into the Sprott-B system to construct several chaotic systems and revealed chaotic bursts and chaotic transients [20].…”

Section: Introductionmentioning

confidence: 99%

Dynamical analysis of a new memristive map with offset boosting and extreme multistability

Han,

Cao,

et al. 2024

Phys. Scr.

View full text Add to dashboard Cite

In this paper, a memristive circuit is designed based on a charge-controlled memristor, and the Hamilton energy function is obtained from the Helmholtz theorem. The system equation of memristive circuit is discretized by redefining the variables to obtain a three-dimensional memristive map and the corresponding energy function. Then, the effects of parameters and initial values on the memristive map are analyzed using conventional dynamical analysis. There are multiple types of quasi-periodic and chaotic states of the memristive map under different parameters, and the energy evolution of different states is shown. In addition, offset boosting and homogeneous extreme multistability are found in the map, which can be controlled to offset the attractor by changing specific parameters and initial values. The complexity of the chaotic sequence is also analyzed as the parameters and initial values are varied over the chosen range. Finally, the map is implemented on PSIM circuit simulation and digital signal processor (DSP) respectively. This research will provide a reference for secure communication.

show abstract

Section: Introductionmentioning

confidence: 99%

Dynamical analysis of a new memristive map with offset boosting and extreme multistability

Han,

Cao,

et al. 2024

Phys. Scr.

View full text Add to dashboard Cite

show abstract

“…Compared to the three fundamental circuit components, resistors, capacitors, and inductors, memristors possess unique memory resistance functional characteristics. Due to this distinctive memory property, memristors can find applications in various fields, including intelligent computing [2,3], neural networks [4][5][6], data mining [7], memory devices [8][9][10], and chaotic circuits [11][12][13], among others. However, because memristors have not been physically realized in the real world, research on memristors and memristor circuits has not attracted the attention of researchers.…”

Section: Introductionmentioning

confidence: 99%

A Robust Memristor-Enhanced Polynomial Hyper-Chaotic Map and Its Multi-Channel Image Encryption Application

Qian,

Xiao,

Wei

et al. 2023

Micromachines

View full text Add to dashboard Cite

Nowadays, the utilization of memristors to enhance the dynamical properties of chaotic systems has become a popular research topic. In this paper, we present the design of a novel 2D memristor-enhanced polynomial hyper-chaotic map (2D-MPHM) by utilizing the cross-coupling of two TiO2 memristors. The dynamical properties of the 2D-MPHM were investigated using Lyapunov exponents, bifurcation diagrams, and trajectory diagrams. Additionally, Kolmogorov entropy and sample entropy were also employed to evaluate the complexity of the 2D-MPHM. Numerical analysis has demonstrated the superiority of the 2D-MPHM. Subsequently, the proposed 2D-MPHM was applied to a multi-channel image encryption algorithm (MIEA-MPHM) whose excellent security was demonstrated by key space, key sensitivity, plaintext sensitivity, information entropy, pixel distribution, correlation analysis, and robustness analysis. Finally, the encryption efficiency of the MIEA-MPHM was evaluated via numerous encryption efficiency tests. These tests demonstrate that the MIEA-MPHM not only possesses excellent security but also offers significant efficiency advantages, boasting an average encryption rate of up to 87.2798 Mbps.

show abstract

“…However, it was not until 2008 that HP Labs made a solid-state memristor, [8] which marks that the research on memristors has officially changed from theory to practice. With the deepening of the research on memristors, [9,10] the special nonlinearity and nonvolatility of memristors have made them widely used in chaos, [11][12][13] neural networks, [14][15][16][17][18][19][20] secure communication, [21,22] memory, [23] neurons, [24] and chaotic oscillators. [25,26] More and more researchers have found that adding memristors to chaotic circuits will greatly increase the complexity of the system and cause some other behaviors in the chaotic system.…”

Section: Introductionmentioning

confidence: 99%

Rucklidge-based memristive chaotic system: Dynamic analysis and image encryption

et al. 2023

View full text Add to dashboard Cite

A new four dimensional memristive chaotic system is obtained by introducing a memristor into the Rucklidge chaotic system, and a detailed dynamic analysis of the system is performed. The sensitivity of the system to parameters allows it obtains 16 different attractors by changing only one parameter. The various transient behaviors and excellent spectral entropy and C0 complexity values of the system can also reflect the high complexity of the system. A circuit is designed and verified the feasibility of the system from the physical level. Finally, the system is applied to image encryption, and the security of the encryption system is analyzed from multiple aspects, providing a reference for the application of such memristive chaotic systems.

show abstract

RC Bridge Oscillation Memristor Chaotic Circuit for Electrical and Electronic Technology Extended Simulation Experiment

Cited by 7 publications

References 44 publications

Dynamical analysis of a new memristive map with offset boosting and extreme multistability

Dynamical analysis of a new memristive map with offset boosting and extreme multistability

A Robust Memristor-Enhanced Polynomial Hyper-Chaotic Map and Its Multi-Channel Image Encryption Application

Rucklidge-based memristive chaotic system: Dynamic analysis and image encryption

Contact Info

Product

Resources

About