Abstract
A new method is proposed for detecting unstable periodic orbits and their linear stability properties from chaotic experimental time series. Illustrative examples are presented for both numerically and experimentally generated time series. The statistical significance of the results is assessed using surrogate data.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 4705-4708 |
| Number of pages | 4 |
| Journal | Physical review letters |
| Volume | 76 |
| Issue number | 25 |
| DOIs | |
| State | Published - 1996 |
All Science Journal Classification (ASJC) codes
- General Physics and Astronomy
Fingerprint
Dive into the research topics of 'Detecting unstable periodic orbits in chaotic experimental data'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver