Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems

The problem of reconstructing nonlinear and complex dynamical systems from measured data or time series is central to many scientific disciplines including physical, biological, computer, and social sciences, as well as engineering and economics. In this paper, we review the recent advances in this...

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Veröffentlicht in:	arXiv.org 2017-04
Hauptverfasser:	Wang, Wenxu, Ying-Cheng, Lai, Grebogi, Celso
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bifurcations Dynamical systems Mapping Nonlinear systems Optimization Phase transitions Physics - Chaotic Dynamics Physics - Data Analysis, Statistics and Probability Physics - Physics and Society Reverse engineering Signal reconstruction Social networks Synchronism
Online-Zugang:	Volltext
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