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首页> 外文期刊>Communications in Nonlinear Science and Numerical Simulation >An experimental study of slow passage through Hopf and pitchfork bifurcations in a parametrically driven nonlinear oscillator
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An experimental study of slow passage through Hopf and pitchfork bifurcations in a parametrically driven nonlinear oscillator

机译:参数驱动非线性振荡器中慢速通过Hopf和音叉分叉的实验研究

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Understanding the effect of slowly varying control parameters in dynamical systems is important in many fields such as mechanics, biology, ecology and social sciences, where normally changes in parameters take place very slowly. When a control parameter becomes time varying, the system dynamics exhibits a delay in bifurcation, i.e., the system responds to the bifurcation scenario with a lag in real time. In this paper, we experimentally explore the delay associated with Hopf and pitchfork bifurcations in a parametrically driven nonlinear oscillator. For this study we choose a generic nonlinear oscillator, namely the parametrically driven Murali-Lakshmanan-Chua (PDMLC) oscillator. We identify and characterize the occurrence of delay in bifurcations in both the rising and falling edges of the external force and measure the delay associated with these bifurcations in both the edges. We show that the delay in Hopf and pitchfork bifurcations increase when the rate of change of control parameter decreases. We further show that the delay obeys a power law as a function of the external frequency. All the numerical simulation results are corroborated with the real-time electronic circuit experiment and we find a good qualitative agreement between the numerical and experimental results. (C) 2016 Elsevier B.V. All rights reserved.
机译:了解动力学系统中缓慢变化的控制参数的影响在机械,生物学,生态学和社会科学等许多领域很重要,在这些领域中,参数的变化通常非常缓慢。当控制参数随时间变化时,系统动力学会出现分叉延迟,即系统实时响应分叉情况。在本文中,我们通过实验研究了参数驱动的非线性振荡器中与Hopf和音叉分叉有关的延迟。对于本研究,我们选择一个通用的非线性振荡器,即参数驱动的Murali-Lakshmanan-Chua(PDMLC)振荡器。我们确定并表征了在外力的上升沿和下降沿中分叉延迟的发生,并测量了在这两个边缘中与这些分叉相关的延迟。我们表明,当控制参数的变化率降低时,Hopf和干草叉分支的延迟会增加。我们进一步证明,该延迟遵循幂律,作为外部频率的函数。所有的数值模拟结果都与实时电子电路实验相吻合,并且在数值和实验结果之间找到了很好的定性一致性。 (C)2016 Elsevier B.V.保留所有权利。

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