Characterizing chaos in systems subjected to parameter drift.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.105.l062202
Abstract: To characterize chaos in systems subjected to parameter drift, where a number of traditional methods do not apply, we propose viable alternative approaches, both in the qualitative and quantitative sense. Qualitatively, following stable and unstable… read more here.
Keywords: time; parameter drift; chaos systems; subjected parameter ... See more keywords
Time delay estimation from the time series for optical chaos systems using deep learning.
Sign Up to like & getrecommendations! Published in 2021 at "Optics express"
DOI: 10.1364/oe.419654
Abstract: We propose a model-free time delay signature (TDS) extraction method for optical chaos systems. The TDS can be identified from time series without prior knowledge of the actual physical processes. In optical chaos secure communication… read more here.
Keywords: time; time delay; time series; chaos ... See more keywords