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An artificial parameter-decomposition method for nonlinear oscillators: Applications to oscillators with odd nonlinearities

机译:非线性振荡器的一种人工参数分解方法:在具有奇数非线性的振荡器中的应用

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摘要

A method for obtaining series solutions of nonlinear second-order ordinary differential equations based on the introduction of an artificial parameter is presented and shown to be identical to the well-known Adomian's decomposition technique. The method is formulated in both integral and differential forms. For the determination of the limit cycle of oscillators with odd nonlinearities, two differential forms and one integral form of the artificial parameter method are presented. These versions are based on introducing a linear stiffness term with an unknown frequency, and the use of either the original independent variable or a new independent variable that depends linearly on the unknown frequency of the oscillator. The three formulations provide identical results, and their application to eight oscillators with odd nonlinearities shows that the artificial parameter technique presented in this paper predicts the same frequency of oscillation as the harmonic balance and iterative techniques as well as modified Linstedt-Poincare methods. However, the method presented here is based on the introduction of an artificial parameter and does not require the presence of small perturbation parameters in the ordinary differential equation. It is also shown that two- and three-level iterative methods yield the same frequency of oscillation as the artificial parameter technique presented in this paper provided that the initial iterate of the former coincides with the leading-order solution of the latter and only one iteration of iterative techniques and only the second approximation of the artificial parameter method are determined. (C) 2007 Elsevier Ltd. All rights reserved.
机译:提出了一种基于引入人工参数的方法来获得非线性二阶常微分方程的级数解的方法,该方法与已知的Adomian分解技术相同。该方法以积分和微分形式表示。为了确定具有奇数非线性的振荡器的极限环,提出了两种微分形式和一种积分形式的人工参数方法。这些版本基于引入频率未知的线性刚度项,以及使用原始自变量或线性依赖于振荡器未知频率的新自变量。这三个公式提供了相同的结果,并将其应用于八个具有奇数非线性的振荡器表明,本文介绍的人工参数技术可预测与谐波平衡和迭代技术以及改进的Linstedt-Poincare方法相同的振荡频率。但是,此处介绍的方法基于人工参数的引入,不需要在常微分方程中存在小的摄动参数。还表明,如果前者的初始迭代与后者的前导解一致且仅进行一次迭代,则两层和三层迭代方法产生的振荡频率与本文中介绍的人工参数技术相同。迭代技术的确定,仅确定人工参数方法的第二次近似。 (C)2007 Elsevier Ltd.保留所有权利。

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