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Noisy chaos in a quasi-integrable hamiltonian system with two dof under harmonic and bounded noise excitations

机译:在谐波和有界噪声激励下具有两个自由度的准可积哈密顿系统中的噪声混沌

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This paper presents an extended form of the high-dimensional Melnikov method for stochastically quasi-integrable Hamiltonian systems. A quasi-integrable Hamiltonian system with two degree-of-freedom (DOF) is employed to illustrate this extended approach, from which the stochastic Melnikov process is derived in detail when the harmonic and the bounded noise excitations are imposed on the system, and the mean-square criterion on the onset of chaos is then presented. It is shown that the threshold of the onset of chaos can be adjusted by changing the deterministic intensity of bounded noise, and one can find the range of the parameter related to the bandwidth of the bounded noise excitation where the chaotic motion can arise more readily by investigating the changes of the threshold region. Furthermore, some parameters are chosen to simulate the sample responses of the system according to the mean-square criterion from the extended stochastic Melnikov method, and the largest Lyapunov exponents are then calculated to identify these sample responses.
机译:本文提出了一种随机拟准哈密顿系统的高维梅尔尼科夫方法的扩展形式。采用具有两个自由度(DOF)的拟可积分哈密顿系统来说明这种扩展方法,当对系统施加谐波和有界噪声激励时,将从中详细推导随机Melnikov过程,并且然后提出了关于混沌发生的均方判据。结果表明,可以通过改变有界噪声的确定强度来调整混沌开始的阈值,并且可以找到与有界噪声激励的带宽相关的参数范围,在该范围内,混沌运动可以更容易地通过调查阈值区域的变化。此外,根据扩展的随机Melnikov方法的均方标准,选择一些参数来模拟系统的样本响应,然后计算最大的Lyapunov指数以识别这些样本响应。

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