2023
DOI: 10.1088/1402-4896/acafac
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Hidden multistability of fractional discrete non-equilibrium point memristor based map

Abstract: At present, the multistability analysis in discrete nonlinear fractional-order systems is a subject that is receiving a lot of attention. In this article, a new discrete non-equilibrium point memristor-based map with $\gamma-th$ Caputo fractional difference is introduced. In addition, in the context of the commensurate and non-commensurate instances, the non-linear dynamics of the suggested discrete fractional map, such as its multistability, hidden chaotic attractor, and hidden hyperchaotic attractor, are inv… Show more

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Cited by 22 publications
(7 citation statements)
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References 55 publications
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“…It greatly improved the anti-crack capability of the image. The correlation of two adjacent pixels on the horizontal, vertical, and diagonal direction can be calculated by using equation (27).…”
Section: Correlation Analysis Of the Design Encryption Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…It greatly improved the anti-crack capability of the image. The correlation of two adjacent pixels on the horizontal, vertical, and diagonal direction can be calculated by using equation (27).…”
Section: Correlation Analysis Of the Design Encryption Algorithmmentioning
confidence: 99%
“…Recently, the research for the dynamic behavior of memristive chaotic system has become a hot issue [22]. In particular, several studies show that it can improve chaotic performance by introducing the memristive model to some chaotic systems [23][24][25][26][27][28]. Otherwise, the introduction of memristor can effectively improve the memory performance of neural network.…”
Section: Introductionmentioning
confidence: 99%
“…The discrete memristive Rulkov neuron map [32,33] was developed by introducing a DM into a Rulkov neuron model. A fractional memristive map is proposed in [34]. In addition, DM chaotic maps are hardware implemented by applying DSP platform [35][36][37] and an analog circuit [38].…”
Section: Introductionmentioning
confidence: 99%
“…With this condition, it is difficult to trigger such attractor via configuring an initial point from the small neighborhood of the system equilibrium. In various cases, the one with no equilibrium is a natural hidden oscillating system since the existence of the attractor is not related to the system equilibrium [25], which makes it have advantages in resisting the prediction of chaotic trajectories in chaos-based security applications [26].…”
Section: Introductionmentioning
confidence: 99%