Modeling global vector fields of chaotic systems from noisy time series with the aid of structure-selection techniques

DOI10.1063/1.2359230zbMath1146.37339OpenAlexW1978919188WikidataQ51089299 ScholiaQ51089299MaRDI QIDQ3531686

Fangfang Lu, Daolin Xu

Publication date: 3 November 2008

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.2359230

Mathematics Subject Classification ID

Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Related Items (4)

The use of synthetic input sequences in time series modeling ⋮ Distributed dynamic load identification based on shape function method and polynomial selection technique ⋮ Spatiotemporal system reconstruction using Fourier spectral operators and structure selection techniques ⋮ Spatiotemporal system identification on nonperiodic domains using Chebyshev spectral operators and system reduction algorithms

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