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P-bifurcations in the stochastic version of the Duffing-van der Pol equation

机译:Duffing-van der Pol等式的随机版中的p-bifurcation

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In this paper, we shall re-examine the stochastic version of the Duffing-van der Pol equation. As in [2], [9], [19], [22], we shall introduce a multiplicative and an additive stochastic excitation in our case, i.e.x"=(α+σ{sub}1ξ{sub}1)x+βx'+ax{sup}3+bx{sup}2x'+σ{sub}2ξ{sub}2where, α andβ are the bifurcation parameters, ξ{sub}1 andξ{sub}2 are white noise processes with intensitiesσ{sub}1 andσ{sub}2 respectively. The existence of the extrema of the probability density function is presented for the stochastic system. Themethod used in this paper is essentially the same as what has been used in [19]. We first reduce the above system to a weakly perturbed conservative system by introducing an appropriate scaling. The corresponding unperturbed system is then studied.Subsequently, by transforming the variables and performing stochastic averaging, we obtain a one-dimensional Ito equation of the Hamiltonian H. The probability density function is found by solving the Fokker-Planck equation. The extrema of the probability density function are then calculated in order to study the so-called P-Bifurcation. The bifurcation pictures for the stochastic version Duffing-van der Pol oscillator with a=-1.0, b=-1.0 over the whole (α, β)-plane are given. The related mean exit timeproblem has also been studied.
机译:在本文中,我们将重新检查Duffing-Van der Pol方程的随机版本。如[2],[9],[19],[22],我们将在我们的情况下引入乘法和添加剂随机激发,IEX“=(α+σ{sub}1ξ{sub} 1)x + βx'+轴{sup} 3 + bx {sup} 2x'σ{sub}2ξ{sub} 2所在,α和β是分叉参数,ξ{sub} 1和{sub} 2是具有强度σ的白噪声过程{分别为Sub} 1和σ{Sub} 2。概率密度函数的极值存在于随机系统。本文中使用的本文基本上与[19]中使用的内容相同。我们首先缩短通过引入适当的缩放来以上系统到弱扰动的保守系统。然后研究相应的未受干扰的系统。通过转换变量和执行随机平均,我们获得Hamiltonian H的一维ITO方程。概率密度函数通过解决Fokker-Planck方程来发现。然后计算概率密度函数的极值,以便研究所谓的p-bifurcation。给出了整个(α,β)平面上的随机版Duffing-van der Pol振荡器的随机版Duffing-van der振荡器的分叉图像。还研究了相关的平均出口时间问题。

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