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Steady state response analysis for fractional dynamic systems based on memory-free principle and harmonic balancing

机译:基于无记忆原理和谐波平衡的分数阶动态系统稳态响应分析

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A semi-analytic approach is proposed to analyze steady state responses of dynamic systems containing fractional derivatives. A major purpose is to efficiently combine the harmonic balancing (HB) technique and Yuan-Agrawal (YA) memory-free principle. As steady solutions being expressed by truncated Fourier series, a simple yet efficient way is suggested based on the YA principle to explicitly separate the Caputo fractional derivative as periodic and decaying non-periodic parts. Neglecting the decaying terms and applying HB procedures result into a set of algebraic equations in the Fourier coefficients. The linear algebraic equations are solved exactly for linear systems, and the non-linear ones are solved by Newton-Raphson plus arc-length continuation algorithm for non-linear problems. Both periodic and triple-periodic solutions obtained by the presented method are in excellent agreement with those by either predictor corrector (PC) or YA method. Importantly, the presented method is capable of detecting both stable and unstable periodic solutions, whereas time-stepping integration techniques such as YA and PC can only track stable ones. Together with the Floquet theory, therefore, the presented method allows us to address the bifurcations in detail of the steady responses of fractional Duffing oscillator. Symmetry breakings and cyclic-fold bifurcations are found and discussed for both periodic and triple-periodic solutions. (C) 2016 Elsevier Ltd. All rights reserved.
机译:提出了一种半解析方法来分析包含分数导数的动态系统的稳态响应。一个主要目的是有效地结合谐波平衡(HB)技术和无Yuan-Agrawal(YA)记忆原理。作为由截断傅立叶级数表示的稳定解,提出了一种基于YA原理的简单而有效的方法,用于将Caputo分数导数明确划分为周期性和衰减的非周期性部分。忽略衰变项并应用HB程序将得到一组傅立叶系数的代数方程。线性代数方程可精确求解线性系统,非线性方程可通过牛顿-拉夫森加弧长连续算法求解非线性问题。通过本方法获得的周期解和三周期解与通过预测器校正器(PC)或YA方法获得的解非常吻合。重要的是,本文提出的方法能够检测稳定和不稳定的周期解,而时间步积分技术(例如YA和PC)只能跟踪稳定的周期解。因此,与Floquet理论一起,所提出的方法使我们能够解决分数Duffing振荡器的稳态响应的详细分叉。对于周期解和三周期解都发现并讨论了对称破坏和循环折叠分支。 (C)2016 Elsevier Ltd.保留所有权利。

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