Matryoshka multistability: Coexistence of an infinite number of exactly self-similar nested attractors in a fractal phase space

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

Abstract

Multistability, and its special types such as megastability and extreme multistability, is an important phenomenon in modern nonlinear science that provides several possible practical applications. In this paper, we propose a new special type of multistability when the infinite number of exactly self-similar attractors nested inside each other coexist in a system. We called it matryoshka multistability due to its resemblance to the famous Russian wooden doll. We theoretically explain and experimentally confirm the properties of a new type of multistable behavior using two representative examples based on the Chua and Sprott Case J chaotic systems. In addition, we construct an adaptive controller for synchronizing two Chua-type matryoshka multistable systems when the amplitude of the master system is of arbitrary scale. The proposed type of multistability can find several applications in chaotic communication, cryptography, and data compression.

马特里奥什卡多稳定性:分形相空间中无数完全自相似的嵌套吸引子共存
多稳态性及其特殊类型,如巨稳态性和极端多稳态性,是现代非线性科学中的一个重要现象,它提供了多种可能的实际应用。在本文中,我们提出了一种新的特殊类型的多稳定性,即在一个系统中同时存在无限多个相互嵌套的精确自相似吸引子。由于与著名的俄罗斯木制娃娃相似,我们将其称为 "马特里奥什卡 "多稳态性。我们利用两个基于 Chua 和 Sprott Case J 混沌系统的代表性例子,从理论上解释并通过实验证实了新型多稳态行为的特性。此外,我们还构建了一种自适应控制器,用于在主系统振幅为任意尺度时同步两个 Chua 型 Matryoshka 多稳态系统。所提出的多稳态类型可在混沌通信、密码学和数据压缩中找到多种应用。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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