Recurrence quantification based Liapunov exponents for monitoring divergence in experimental data
type: Item
instance of: scholarly article
title: Recurrence quantification based Liapunov exponents for monitoring divergence in experimental data
zbMATH Open document ID: 0995.37062
DOI: 10.1016/S0375-9601(02)00436-X
author: Joseph P. Zbilut
author: José-Manuel Zaldivar-Comenges
author: F. Strozzi
published in: Physics Letters. A
publication date: 2002-05-23T00:00:00Z
Mathematics Subject Classification ID: 37M25
zbMATH DE Number: 1745112
zbMATH Keywords: chaotic dynamics
zbMATH Keywords: on-line nonstationary noisy systems
MaRDI profile type: Publication
cites work: Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamical systems
cites work: From Instability to Intelligence
cites work: NONLINEAR TIME SEQUENCE ANALYSIS
cites work: Estimating correlation dimension from a chaotic time series: When does plateau onset occur?
cites work: Independent coordinates for strange attractors from mutual information
Wikidata QID: Q127249776
description: scientific article; zbMATH DE number 1745112