Imperial College London
Alternate

ProfessorSerafimKalliadasis

Faculty of Engineering, Department of Chemical Engineering

Prof in Engineering Science & Applied Mathematics
 
 
 
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Contact

 

+44 (0)20 7594 1373s.kalliadasis Website

 
 
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Assistant

 

Miss Jessica Baldock +44 (0)20 7594 5699

 
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Location

 

516ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gotoda:2015:10.1142/S0218127415300153,
author = {Gotoda, H and Pradas, M and Kalliadasis, S},
doi = {10.1142/S0218127415300153},
journal = {International Journal of Bifurcation and Chaos},
title = {Nonlinear Forecasting of the Generalized Kuramoto-Sivashinsky Equation},
url = {http://dx.doi.org/10.1142/S0218127415300153},
volume = {25},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The emergence of pattern formation and chaotic dynamics is studied in the one-dimensional (1D) generalized Kuramoto–Sivashinsky (gKS) equation by means of a time-series analysis, in particular, a nonlinear forecasting method which is based on concepts from chaos theory and appropriate statistical methods. We analyze two types of temporal signals, a local one and a global one, finding in both cases that the dynamical state of the gKS solution undergoes a transition from high-dimensional chaos to periodic pulsed oscillations through low-dimensional deterministic chaos while increasing the control parameter of the system. Our results demonstrate that the proposed nonlinear forecasting methodology allows to elucidate the dynamics of the system in terms of its predictability properties.
AU  - Gotoda,H
AU  - Pradas,M
AU  - Kalliadasis,S
DO  - 10.1142/S0218127415300153
PY  - 2015///
SN  - 1793-6551
TI  - Nonlinear Forecasting of the Generalized Kuramoto-Sivashinsky Equation
T2  - International Journal of Bifurcation and Chaos
UR  - http://dx.doi.org/10.1142/S0218127415300153
UR  - http://hdl.handle.net/10044/1/24001
VL  - 25
ER  -
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