Applications of recurrence quantified analysis to study the dynamics of chaotic chemical reaction
H. Castellini and
L. Romanelli
Physica A: Statistical Mechanics and its Applications, 2004, vol. 342, issue 1, 301-307
Abstract:
Recurrence plot is a quite easy tool to be used in time-series analysis, in particular for measuring unstable periodic orbits embedded in a chaotic dynamical system. Recurrence quantified analysis (RQA) is an advanced tool that allows the study of intrinsic complexity of a dynamical system with a set of few parameters. We use RQA for measuring chaotic transitions of Nicotinamide adenine dinucleotide (NADH) chemical reaction and to determine numerically its characteristic parameters such as: correlation integral, information entropy, Maximal Lyapunov's exponent, etc. For this work we have developed command sets with a better performance than TISEAN package.
Keywords: Chemical chaos; Time series; Recurrence quantified analysis (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843710400799X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:342:y:2004:i:1:p:301-307
DOI: 10.1016/j.physa.2004.06.028
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().