Cited by 9,499Chaos control and synchronizationMathematical Dynamics and FractalsComplex Systems and Time Series Analysis

Determining Lyapunov exponents from a time series

Open access
Wolf, Alan, Swift, Jack B., Swinney, Harry L., Vastano, John A.·1985·Physica D: Nonlinear Phenomena

Integrity signals

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Crossref · 10.1016/0167-2789(85)90011-9

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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  • LE is a tool used to visualize the separation of trajectories from two initial values with minimal error over time.

    “When two initial values with minimal error are applied to the same chaotic system, the trajectories they generate will be separated exponentially over time.LE is a tool used to visualize this phenomenon [21].”

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Authors
Wolf, A., Swift, J. B., Swinney, H. L., & Vastano, J. A.
Affiliations
The University of Texas at Austin (US)
Venue
Physica D: Nonlinear Phenomena
Publisher
Elsevier BV
Published
1985-07
Volume
16
Issue
3
Pages
285-317
ISSN
0167-2789 (ISSN-L)
OpenAlex
W2152254020
Cited by
9,499
References
1
Citations by year
2026: 418 · 2025: 416 · 2024: 420 · 2023: 412 · 2022: 483 · 2021: 472 · 2020: 448 · 2019: 430 · 2018: 441 · 2017: 365 · 2016: 316 · 2015: 303 · 2014: 302 · 2013: 289 · 2012: 252
FWCI
29.49
Type
journal article
Language
en
Open access
Locations
  • Physica D Nonlinear Phenomena (publishedVersion)
  • HAL (submittedVersion, other-oa)
Topics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
  • Physical Sciences › Mathematics › Mathematical Physics › Mathematical Dynamics and Fractals
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
Keywords
Lyapunov exponents, time series analysis, chaos, nonlinear dynamics, data-driven estimation

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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