Perspectives on studies of chaos in experiments
Conference
·
OSTI ID:7127882
Noisy signals have traditionally been analyzed using Fourier spectra, correlation functions, and other methods developed for linear systems. However, these techniques are inadequate for characterizing chaos in deterministic nonlinear systems. More appropriate properties for characterizing chaos are the Lyapunov exponents, entropy, and dimension of the attractors. Methods are now being developed to compute these properties from time series data obtained in laboratory experiments. We briefly describe some of these methods and their limitations and applications. 26 refs.
- Research Organization:
- Texas Univ., Austin (USA). Dept. of Physics
- DOE Contract Number:
- AS05-84ER13147
- OSTI ID:
- 7127882
- Report Number(s):
- DOE/ER/13147-2-Pt.9; CONF-8505207-2-Pt.9; ON: DE87000765
- Country of Publication:
- United States
- Language:
- English
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