基于奇异摄动的迟滞模型爆破分析

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Nonlinear Science Pub Date : 2023-10-26 DOI:10.1007/s00332-023-09983-1
K. U. Kristiansen
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引用次数: 0

摘要

在本文中,我们提供了一个新的基于奇异摄动的迟滞模型的几何分析。这里的迟滞是指一种分段光滑微分方程的正则化,其中在不连续集的一个小邻域内,轨迹的过去决定了当前的向量场。事实上,在不连续的邻域消失的极限下,迟滞在适当意义上收敛于Filippov的滑动矢量场。然而,最近(2022),Bonet和Seara表明,与通过平滑进行正则化相反,滞后会导致放牧分岔正则化中的混沌,即使在二维中也是如此。我们在本文中分析的滞后模型是由Bonet等人在2017年的一篇论文中提出的,旨在统一分段光滑系统的不同正则化,该模型涉及两个奇异摄动参数,并包括慢速和快速和非光滑效应的组合。因此,从奇异摄动理论的角度来看,这个模型的描述是具有挑战性的,即使在二维空间中也是如此。利用爆破作为我们的主要技术手段,我们证明了一个在方位角上具有快速动力学和在轴向上具有缓慢漂移的不变圆柱的存在性。我们发现缓慢漂移是由Filippov滑动矢量场给出的。此外,在放牧的情况下,我们确定了两个重要的参数体系,它们将模型与平滑(通过极限环的鞍节点分岔)和滞后(通过混沌动力学,由于折叠鞍和新的返回机制)联系起来。
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Blowup Analysis of a Hysteresis Model Based Upon Singular Perturbations
Abstract In this paper, we provide a geometric analysis of a new hysteresis model that is based upon singular perturbations. Here hysteresis refers to a type of regularization of piecewise smooth differential equations where the past of a trajectory, in a small neighborhood of the discontinuity set, determines the vector-field at present. In fact, in the limit where the neighborhood of the discontinuity vanishes, hysteresis converges in an appropriate sense to Filippov’s sliding vector-field. Recently (2022), however, Bonet and Seara showed that hysteresis, in contrast to regularization through smoothing, leads to chaos in the regularization of grazing bifurcations, even in two dimensions. The hysteresis model we analyze in the present paper—which was developed by Bonet et al in a paper from 2017 as an attempt to unify different regularizations of piecewise smooth systems—involves two singular perturbation parameters and includes a combination of slow–fast and nonsmooth effects. The description of this model is therefore—from the perspective of singular perturbation theory—challenging, even in two dimensions. Using blowup as our main technical tool, we prove existence of an invariant cylinder carrying fast dynamics in the azimuthal direction and a slow drift in the axial direction. We find that the slow drift is given by Filippov’s sliding vector-field to leading order. Moreover, in the case of grazing, we identify two important parameter regimes that relate the model to smoothing (through a saddle-node bifurcation of limit cycles) and hysteresis (through chaotic dynamics, due to a folded saddle and a novel return mechanism).
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来源期刊
CiteScore
5.00
自引率
3.30%
发文量
87
审稿时长
4.5 months
期刊介绍: The mission of the Journal of Nonlinear Science is to publish papers that augment the fundamental ways we describe, model, and predict nonlinear phenomena. Papers should make an original contribution to at least one technical area and should in addition illuminate issues beyond that area''s boundaries. Even excellent papers in a narrow field of interest are not appropriate for the journal. Papers can be oriented toward theory, experimentation, algorithms, numerical simulations, or applications as long as the work is creative and sound. Excessively theoretical work in which the application to natural phenomena is not apparent (at least through similar techniques) or in which the development of fundamental methodologies is not present is probably not appropriate. In turn, papers oriented toward experimentation, numerical simulations, or applications must not simply report results without an indication of what a theoretical explanation might be. All papers should be submitted in English and must meet common standards of usage and grammar. In addition, because ours is a multidisciplinary subject, at minimum the introduction to the paper should be readable to a broad range of scientists and not only to specialists in the subject area. The scientific importance of the paper and its conclusions should be made clear in the introduction-this means that not only should the problem you study be presented, but its historical background, its relevance to science and technology, the specific phenomena it can be used to describe or investigate, and the outstanding open issues related to it should be explained. Failure to achieve this could disqualify the paper.
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