A heuristic method for identifying chaos from frequency content.
Publication
, Journal Article
Wiebe, R; Virgin, LN
Published in: Chaos (Woodbury, N.Y.)
March 2012
The sign of the largest Lyapunov exponent is the fundamental indicator of chaos in a dynamical system. However, although the extraction of Lyapunov exponents can be accomplished with (necessarily noisy) the experimental data, this is still a relatively data-intensive and sensitive endeavor. This paper presents an alternative pragmatic approach to identifying chaos using response frequency characteristics and extending the concept of the spectrogram. The method is shown to work well on both experimental and simulated time series.
Duke Scholars
Published In
Chaos (Woodbury, N.Y.)
DOI
EISSN
1089-7682
ISSN
1054-1500
Publication Date
March 2012
Volume
22
Issue
1
Start / End Page
013136
Related Subject Headings
- Nonlinear Dynamics
- Fluids & Plasmas
- Feedback
- Computer Simulation
- Algorithms
- 5199 Other physical sciences
- 4901 Applied mathematics
- 0299 Other Physical Sciences
- 0103 Numerical and Computational Mathematics
- 0102 Applied Mathematics
Citation
APA
Chicago
ICMJE
MLA
NLM
Wiebe, R., & Virgin, L. N. (2012). A heuristic method for identifying chaos from frequency content. Chaos (Woodbury, N.Y.), 22(1), 013136. https://doi.org/10.1063/1.3675624
Wiebe, R., and L. N. Virgin. “A heuristic method for identifying chaos from frequency content.” Chaos (Woodbury, N.Y.) 22, no. 1 (March 2012): 013136. https://doi.org/10.1063/1.3675624.
Wiebe R, Virgin LN. A heuristic method for identifying chaos from frequency content. Chaos (Woodbury, NY). 2012 Mar;22(1):013136.
Wiebe, R., and L. N. Virgin. “A heuristic method for identifying chaos from frequency content.” Chaos (Woodbury, N.Y.), vol. 22, no. 1, Mar. 2012, p. 013136. Epmc, doi:10.1063/1.3675624.
Wiebe R, Virgin LN. A heuristic method for identifying chaos from frequency content. Chaos (Woodbury, NY). 2012 Mar;22(1):013136.
Published In
Chaos (Woodbury, N.Y.)
DOI
EISSN
1089-7682
ISSN
1054-1500
Publication Date
March 2012
Volume
22
Issue
1
Start / End Page
013136
Related Subject Headings
- Nonlinear Dynamics
- Fluids & Plasmas
- Feedback
- Computer Simulation
- Algorithms
- 5199 Other physical sciences
- 4901 Applied mathematics
- 0299 Other Physical Sciences
- 0103 Numerical and Computational Mathematics
- 0102 Applied Mathematics