2022
DOI: 10.1088/1674-1056/ac7294
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Extremely hidden multi-stability in a class of two-dimensional maps with a cosine memristor

Abstract: In this work, we present a class of two-dimensional memristive maps with a cosine memristor. The memristive maps do not have any fixed points, so they belong to the category of nonlinear maps with hidden attractors. The rich dynamical behaviors of these maps are demonstrated and investigated using different numerical tools, including phase portrait, basins of attraction, bifurcation diagram, and Lyapunov exponents. The two-parameter bifurcation analysis of the memristive map has been carried out to reveal the … Show more

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Cited by 14 publications
(12 citation statements)
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“…Many researchers have devoted themselves to the analysis of chaotic phenomena in discrete memristors. Recently, hidden attractors have been discovered in discrete memristor-based maps [50]. Wang et al [51] included a discrete-time memristor to create a memristive Lozi map.…”
Section: Memristor-based Lozi Map With Hidden Hyperchaosmentioning
confidence: 99%
“…Many researchers have devoted themselves to the analysis of chaotic phenomena in discrete memristors. Recently, hidden attractors have been discovered in discrete memristor-based maps [50]. Wang et al [51] included a discrete-time memristor to create a memristive Lozi map.…”
Section: Memristor-based Lozi Map With Hidden Hyperchaosmentioning
confidence: 99%
“…In [39], Peng et al analyzed the behavior of the higher-dimensional discrete memristor map, whereas a new discrete memristor chaotic map has been constructed in [36]. The hyperchaotic of the 2D symmetric map with complete control is demonstrated in [37], while the hidden multistability of the 2D maps with a cosine memristor has been studied in [38]. The majority of the aforementioned discrete memristor research is of classical integer order, but unfortunately, the discrete fractional memristor study is inadequate as there are relatively few studies on it.…”
Section: Introductionmentioning
confidence: 99%
“…Considering different purposes, there is also other research on chaotic maps. For instance, a hyperchaotic map based on offset boosting [20], a memristive map with a cosine memristor and hidden multistable dynamics [21], and 2D rational memristive maps with hidden attractors and various solutions [22]. Additionally, a comprehensive fine-scale analysis of the dynamical response across wide parameter ranges of the 2D Rulkov map was presented in [23].…”
Section: Introductionmentioning
confidence: 99%