Stabilization of Laminars in Chaos Intermittency

IF 1.9 4区 数学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS International Journal of Bifurcation and Chaos Pub Date : 2024-03-12 DOI:10.1142/s021812742450024x
Michiru Katayama, Kenji Ikeda, Tetsushi Ueta
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Abstract

Chaos intermittency is composed of a laminar regime, which exhibits almost periodic motion, and a burst regime, which exhibits chaotic motion; it is known that in chaos intermittency, switching between these regimes occurs irregularly. In the laminar regime of chaos intermittency, the periodic solution before the saddle node bifurcation is closely related to its generation, and its behavior becomes periodic in a short time; the laminar is not, however, a periodic solution, and there are no unstable periodic solutions nearby. Most chaos control methods cannot be applied to the problem of stabilizing a laminar response to a periodic solution since they refer to information about unstable periodic orbits. In this paper, we demonstrate a control method that can be applied to the control target with laminar phase of a dynamical system exhibiting chaos intermittency. This method records the time series of a periodic solution prior to the saddle node bifurcation as a pseudo-periodic orbit and feeds it back to the control target. We report that when this control method is applied to a circuit model, laminar motion can be stabilized to a periodic solution via control inputs of very small magnitude, for which robust control can be obtained.

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混沌间歇中的层流稳定
混沌间歇由层态和突变态组成,层态表现为几乎周期性的运动,突变态表现为混沌运动;众所周知,在混沌间歇中,这两种态之间的切换是不规则的。在混沌间歇的层态中,鞍节点分岔前的周期解与其产生密切相关,其行为在短时间内变得周期性;然而层态并非周期解,附近也没有不稳定的周期解。大多数混沌控制方法都无法应用于稳定层流响应周期解的问题,因为这些方法参考的是不稳定周期轨道的信息。在本文中,我们展示了一种可应用于表现出混沌间歇性的动态系统层相控制目标的控制方法。该方法将鞍节点分岔前的周期解的时间序列记录为伪周期轨道,并将其反馈给控制目标。我们报告说,当这种控制方法应用于电路模型时,层流运动可通过极小幅度的控制输入稳定为周期解,从而获得稳健控制。
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来源期刊
International Journal of Bifurcation and Chaos
International Journal of Bifurcation and Chaos 数学-数学跨学科应用
CiteScore
4.10
自引率
13.60%
发文量
237
审稿时长
2-4 weeks
期刊介绍: The International Journal of Bifurcation and Chaos is widely regarded as a leading journal in the exciting fields of chaos theory and nonlinear science. Represented by an international editorial board comprising top researchers from a wide variety of disciplines, it is setting high standards in scientific and production quality. The journal has been reputedly acclaimed by the scientific community around the world, and has featured many important papers by leading researchers from various areas of applied sciences and engineering. The discipline of chaos theory has created a universal paradigm, a scientific parlance, and a mathematical tool for grappling with complex dynamical phenomena. In every field of applied sciences (astronomy, atmospheric sciences, biology, chemistry, economics, geophysics, life and medical sciences, physics, social sciences, ecology, etc.) and engineering (aerospace, chemical, electronic, civil, computer, information, mechanical, software, telecommunication, etc.), the local and global manifestations of chaos and bifurcation have burst forth in an unprecedented universality, linking scientists heretofore unfamiliar with one another''s fields, and offering an opportunity to reshape our grasp of reality.
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