Random Disordered Periodical Input Induced Chaos in Discontinuous Systems

Random Disordered Periodical Input Induced Chaos in Discontinuous Systems
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不连续系统中随机无序周期性输入引起的混沌

DOI:
10.1142/s0218127419500020
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发表时间:
2019-01
影响因子:
2.2
通讯作者:
Xu Yong
Xu Yong
中科院分区:
数学4区
文献类型:
--
作者:
Liu Di;Xu Yong

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在假设无扰系统是分段哈密顿系统的前提下,将随机Melnikov方法从具有连续向量场的随机系统推广到由随机无序周期输入驱动的不连续系统。通过测量扰动稳定流形和不稳定流形之间的距离,详细推导了非光滑随机Melnikov过程,从而建立了统计意义上的混沌开始均方判据。结果表明,混沌开始的阈值取决于随机力和超曲面的标量函数。最后,给出了用这种扩展方法分析混沌动力学的例子,并讨论了噪声强度对系统动力学行为的影响。结果表明,噪声强度的增加将导致不连续随机系统的混沌运动和相空间中可能的混沌程度的变化。同时,通过包括时间历程和相图在内的系统响应、Poincaré映射和[公式:见文本]-[公式:见文本]检验,进一步研究了噪声强度对混沌的影响。
In this paper, we extend the random Melnikov method from stochastic systems with a continuous vector field to discontinuous systems driven by a random disordered periodic input under the assumption that the unperturbed system is a piecewise Hamiltonian system. By measuring the distance of the perturbed stable and unstable manifolds, the nonsmooth random Melnikov process can be derived in detail, and then the mean square criterion for the onset of chaos is established in the statistical sense. It is shown that the threshold for the onset of chaos depends on the stochastic force and a scalar function of hypersurface. Finally, an example is given to analyze the chaotic dynamics using this extended approach, and discuss the effects of noise intensity on the dynamical behaviors of the system. The results indicate that the increase of the noise intensity will result in a chaotic motion of the discontinuous stochastic system and the changes of possible chaotic degree in the phase space. At the same time, the effects of noise intensity on chaos are further investigated through the system response including time history and phase portraits, Poincaré maps and [Formula: see text]-[Formula: see text] test.
用于检测具有切换流形的平面混合分段平滑系统中的混沌动力学的梅尔尼科夫方法
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