2022
DOI: 10.3390/sym14122586
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Multistability Dynamics Analysis and Digital Circuit Implementation of Entanglement-Chaos Symmetrical Memristive System

Abstract: Aiming at an entangled-chaos system with a memristor, the dynamic analysis and circuit realization are studied. Combining with the quadratic flux-controlled memristor, a memristive chaotic system is constructed, and the multistable behavior of the system when the initial value of the system changes is studied by using the system phase diagram, bifurcation diagram, and Lyapunov exponent spectrum (LE). Spectral entropy (SE), C0, and SampEn are used to describe the complexity of the memristive entanglement-chaos … Show more

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Cited by 8 publications
(2 citation statements)
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“…It can be seen that when the sequence power spectrum distribution is more unbalanced, the simpler the sequence spectral entropy structure is, the more obvious oscillation laws are in the signal, and the smaller the value of SE measure obtained, i.e., the smaller the complexity is, otherwise the greater the complexity is. For spatial spectral entropy complexity maps, the darker the image color, the greater the complexity of the system, the better the pseudo-randomness of the resulting sequence and the better it can be applied in the field of encryption [31].…”
Section: Complexity Analysismentioning
confidence: 99%
“…It can be seen that when the sequence power spectrum distribution is more unbalanced, the simpler the sequence spectral entropy structure is, the more obvious oscillation laws are in the signal, and the smaller the value of SE measure obtained, i.e., the smaller the complexity is, otherwise the greater the complexity is. For spatial spectral entropy complexity maps, the darker the image color, the greater the complexity of the system, the better the pseudo-randomness of the resulting sequence and the better it can be applied in the field of encryption [31].…”
Section: Complexity Analysismentioning
confidence: 99%
“…From then on, research on memristors has attracted a huge amount of attention in industry and academia. Their natural nonlinear and non-volatile characteristics give memristors great potential for data storage and computation [3,4], artificial neural networks [5][6][7], nonlinear circuits [8][9][10], secure communication [11], image encryption [12][13][14], and other fields.…”
Section: Introductionmentioning
confidence: 99%