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Generating chaotic limit cycles for a complex Duffing-Van der Pol system using a random phase

机译:使用随机相位为复杂的Duffing-Van der Pol系统生成混沌极限环

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Stochastic forces or random noises have been greatly used in studying the control of chaos of random real systems, but little is reported for random complex systems. Chaotic limit cycles of a complex Duffing-Van der Pol system with a random excitation is studied. Generating chaos via adjusting the intensity of random phase is investigated. We consider the positive top Lyapunov exponent as a criterion of chaos for random dynamical systems. It is computed based on the Khasminskii's formulation and the extension of Wedig's algorithm for linear stochastic systems. We demonstrate the stable behavior of deterministic system when noise intensity is zero by means of the top (local) Lyapunov exponent. Poincare surface analysis and phase plot are used to confirm our results. Later, random noise is used to generate chaos by adjusting the noise intensity to make the top (local) Lyapunov exponent changes from a negative sign to a positive one, and the Poincar6 surface analysis is also applied to verify the obtained results and excellent agreement between these results is found.
机译:随机力或随机噪声已被广泛用于研究随机实系统的混沌控制,但对随机复杂系统的报道很少。研究了具有随机激励的复杂Duffing-Van der Pol系统的混沌极限环。研究了通过调整随机相位的强度来产生混沌。我们认为正Lyapunov指数是随机动力学系统混沌的一个判据。它是根据Khasminskii的公式和Wedig对线性随机系统算法的扩展进行计算的。我们通过最高(局部)Lyapunov指数证明了当噪声强度为零时确定性系统的稳定行为。使用Poincare表面分析和相图来确认我们的结果。后来,通过调整噪声强度使顶部(局部)Lyapunov指数从负号变为正号,使用随机噪声来产生混沌,并且Poincar6表面分析还用于验证所获得的结果和两者之间的良好一致性。找到这些结果。

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