Lyapunov exponents and the evolution of normals
β Scribed by B.S. Berger; M. Rokni
- Publisher
- Elsevier Science
- Year
- 1987
- Tongue
- English
- Weight
- 286 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0020-7225
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π SIMILAR VOLUMES
The aim of this paper is to illustrate how the stability of a stochastic dynamic system is measured using the Lyapunov exponents. Specifically, we use a feedforward neural network to estimate these exponents as well as asymptotic results for this estimator to test for unstable (chaotic) dynamics. Th
A numerical algorithm for estimating the largest Lyapunov exponent of a chaotic attractor is presented. The method makes use of the minimal time for two trajectories to diverge beyond a given distance from each other. We define the nth divergence speed GΓ°nΓ and show that, for an appropriate range of