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引用次数: 0
摘要
研究了在谐波激励下具有时滞速度的分数阶Φ 6 -van der Pol的混沌分析和吸引域。首先,利用无扰动系统计算了系统在不同参数下的8种不同类型的分岔状态;其次,利用Melnikov方法探讨了系统在双阱势和三阱势下延时速度对小马蹄形混沌阈值的影响。最后,通过对相图、分岔图和最大Lyapunov指数的数值分析,研究了时滞速度对系统混沌的影响。结果表明,延迟速度系数的增大将导致系统从混沌状态过渡到周期状态,而延迟速度项的增大将导致系统从周期状态过渡到混沌状态。在系统分岔的研究中,发现系统在周期运动中平衡点的位置会发生变化。因此,采用单元映射法绘制了系统的吸引域,研究了初始条件对系统平衡点的影响,结果表明,吸引域与混沌发生过程之间存在密切的关系。
Chaos and attraction domain of fractional
Φ6-van der Pol with time delay velocity
This article investigates the chaotic analysis and attractive domain of a fractional-order
-van der Pol with time delay velocity under harmonic excitation. Firstly, eight different types of bifurcation states of the system under different parameters are calculated by using the undisturbed system. Secondly, the Melnikov method is used to explore the effect of time delay velocity on the threshold of chaos in the Smale horseshoe sense under the double-well potential and three-well potential of the system. Finally, through numerical analysis of the phase diagram, bifurcation diagram, and maximum Lyapunov exponent, the influence of time delay velocity on system chaos is studied. The results indicate that an increase in the delay velocity coefficient will lead to the system transitioning from a chaotic state to a periodic state, while an increase in the delay velocity term will lead to the system transitioning from a periodic state to a chaotic state. In the study of system bifurcation, it is found that the position of the equilibrium points of the system changes during periodic motion. Therefore, cell mapping is used to draw the attractive domain of the system is studying the influence of initial conditions on the equilibrium point of the system and the results show that there is a close relationship between the attraction domain and the process of chaos occurrence.
期刊介绍:
Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome.
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