期刊
CHAOS SOLITONS & FRACTALS
卷 144, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2021.110744
关键词
Memristive hyper-jerk system; Initial condition; Chaotic bubble; Extreme multi-stability
资金
- National Natural Science Foundations of China [51777016, 61801054, 61601062]
- Natural Science Foundation of Jiangsu Province, China [BK20191451]
This paper introduces a no-argument memristive hyper-jerk system to explore the generation of chaotic bubbles and discover attractors with extreme multi-stability. Through a reconstituted model with initial conditions in an explicit form, the phenomenon of extreme multi-stability is effectively interpreted.
Antimonotonicity is used to characterize the specific dynamics for the generation of periodic orbits cas-caded by their destruction, which is generally involved with the change of a bifurcation parameter. How-ever, this phenomenon of antimonotonicity is rarely induced by the initial conditions of chaotic systems. To this end, this paper presents a no-argument memristive hyper-jerk system. When taking the initial condition of the memristor inner state (called as memristor initial condition for short) as a bifurcation parameter, we disclose the chaotic bubbles located in the primary interval and thereby display the coexisting infinitely many attractors with extreme multi-stability. Afterwards, when switching the mem-ristor initial condition, we also uncover the initial condition-boosted coexisting chaotic bubbles theoretically and numerically. Therefore, the complex phenomenon of the extreme multi-stability with the initial condition-boosted coexisting chaotic bubbles is well revealed. Furthermore, a reconstituted model with the initial conditions in an explicit form is established in integral domain and the extreme multi-stability can be effectively interpreted through the stability analysis of the determined equilibrium points of the reconstituted model. Finally, a digital hardware platform is implemented to verify the memristor initial condition-dependent chaotic bubbles..
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据