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A new algorithm for the analysis of strange attractors

Octaviana Datcu 1 Roger Tauleigne 2 Jean-Pierre Barbot 3, 2 
3 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : This work proposes a new algorithm aiming to locally measure the divergence of initially nearby trajectories. The divergence is considered in the case of strange attractors, as an alternative of classical Lyapunov exponents. The new algorithm makes use of the Euclidean distance in order to define the local divergence. It is, then, possible to analyze the geometry of the attractor through layers of same divergence, such as a tomography. The algorithm is applied, as an example, to the Colpitts chaotic oscillator.
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Submitted on : Friday, January 3, 2014 - 8:05:04 PM
Last modification on : Tuesday, November 22, 2022 - 2:26:16 PM
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  • HAL Id : hal-00923697, version 1



Octaviana Datcu, Roger Tauleigne, Jean-Pierre Barbot. A new algorithm for the analysis of strange attractors. International Symposium on Signals, Circuits and Systems (ISSCS), Jul 2013, Iasi, Romania. ⟨hal-00923697⟩



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