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  • 标题:Alignment of Lyapunov Vectors: A Quantitative Criterion to Predict Catastrophes?
  • 本地全文:下载
  • 作者:Marcus W. Beims ; Jason A. C. Gallas
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2016
  • 卷号:6
  • 期号:1
  • DOI:10.1038/srep37102
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:We argue that the alignment of Lyapunov vectors provides a quantitative criterion to predict catastrophes, i.e. the imminence of large-amplitude events in chaotic time-series of observables generated by sets of ordinary differential equations. Explicit predictions are reported for a Rössler oscillator and for a semiconductor laser with optoelectronic feedback.
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