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arXiv 2403.06992nlin.AOcs.LGnlin.CD
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用于极限环振子的相位自编码器

Phase autoencoder for limit-cycle oscillators

Tokyo Institute of Technology(东京工业大学);University of California, Los Angeles(加利福尼亚大学洛杉矶分校)

Koichiro Yawata, Kai Fukami, Kunihiko Taira, Hiroya Nakao

AI总结:

本研究提出一种相位自编码器,其潜变量可直接表征极限环振子的渐近相位,仅靠时间序列数据就能估计相位与相位灵敏度函数、重构振子状态,还可用于实现两振子的全局同步。

摘要:

我们提出了一种相位自编码器,用于编码极限环振子的渐近相位——这是表征其同步动力学的核心物理量。该自编码器的训练方式使其潜变量直接代表振子的渐近相位。训练完成的自编码器无需依赖振子的数学模型即可实现两项功能:一是能够计算振子的渐近相位和相位灵敏度函数;二是可将相位值作为输入,重构原始空间中极限环上的振子状态。通过多个极限环振子的算例,我们证明仅需时间序列数据,训练后的自编码器就能估计渐近相位和相位灵敏度函数。我们还提出了一种实现两个振子全局同步的简单方法,作为该训练后自编码器的应用场景。

英文摘要:

We present a phase autoencoder that encodes the asymptotic phase of a limit-cycle oscillator, a fundamental quantity characterizing its synchronization dynamics. This autoencoder is trained in such a way that its latent variables directly represent the asymptotic phase of the oscillator. The trained autoencoder can perform two functions without relying on the mathematical model of the oscillator: first, it can evaluate the asymptotic phase and phase sensitivity function of the oscillator; second, it can reconstruct the oscillator state on the limit cycle in the original space from the phase value as an input. Using several examples of limit-cycle oscillators, we demonstrate that the asymptotic phase and phase sensitivity function can be estimated only from time-series data by the trained autoencoder. We also present a simple method for globally synchronizing two oscillators as an application of the trained autoencoder.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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