分叉
李雅普诺夫指数
极限环
分叉理论的生物学应用
非线性系统
物理
混乱的
统计物理学
控制理论(社会学)
倍周期分岔
联轴节(管道)
计算机科学
量子力学
控制(管理)
人工智能
机械工程
工程类
作者
Awadhesh Prasad,Syamal K. Dana,Rajat Karnatak,Jürgen Kurths,Bernd Blasius,Ramakrishna Ramaswamy
出处
期刊:Chaos
[American Institute of Physics]
日期:2008-05-02
卷期号:18 (2)
被引量:72
摘要
Recently, the phase-flip bifurcation has been described as a fundamental transition in time-delay coupled, phase-synchronized nonlinear dynamical systems. The bifurcation is characterized by a change of the synchronized dynamics from being in-phase to antiphase, or vice versa; the phase-difference between the oscillators undergoes a jump of π as a function of the coupling strength or the time delay. This phase-flip is accompanied by discontinuous changes in the frequency of the synchronized oscillators, and in the largest negative Lyapunov exponent or its derivative. Here we illustrate the phenomenology of the bifurcation for several classes of nonlinear oscillators, in the regimes of both periodic and chaotic dynamics. We present extensive numerical simulations and compute the oscillation frequencies and the Lyapunov spectra as a function of the coupling strength. In particular, our simulations provide clear evidence of the phase-flip bifurcation in excitable laser and Fitzhugh–Nagumo neuronal models, and in diffusively coupled predator-prey models with either limit cycle or chaotic dynamics. Our analysis demonstrates marked jumps of the time-delayed and instantaneous fluxes between the two interacting oscillators across the bifurcation; this has strong implications for the performance of the system as well as for practical applications. We further construct an electronic circuit consisting of two coupled Chua oscillators and provide the first formal experimental demonstration of the bifurcation. In totality, our study demonstrates that the phase-flip phenomenon is of broad relevance and importance for a wide range of physical and natural systems.
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