Phase autoencoder for limit-cycle oscillators
<|reference_start|>Phase autoencoder for limit-cycle oscillators: 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.<|reference_end|>
@article{yawata2024phase,
    title={Phase autoencoder for limit-cycle oscillators},
    author={Koichiro Yawata and Kai Fukami and Kunihiko Taira and Hiroya Nakao},
    journal={arXiv preprint arXiv:2403.06992},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.06992},
    primaryClass={nlin.AO cs.LG nlin.CD}
}