Complexity measure by ordinal matrix growth modeling

DOI10.1007/s11071-017-3523-0zbMath1384.37109OpenAlexW2606305835MaRDI QIDQ1745251

J. S. Armand Eyebe Fouda, Wolfram Koepf

Publication date: 20 April 2018

Published in: Nonlinear Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11071-017-3523-0

zbMATH Keywords

complexitytime seriesLyapunov exponentordinal matrix

Mathematics Subject Classification ID

Factorization of matrices (15A23) Characteristic and Lyapunov exponents of ordinary differential equations (34D08) Time series analysis of dynamical systems (37M10)

Related Items (1)

Multivariate multiscale fractional order weighted permutation entropy of nonlinear time series

Cites Work

• Permutation complexity in dynamical systems. Ordinal patterns, permutation entropy and all that
• Martingales, nonlinearity, and chaos
• The ordinal Kolmogorov-Sinai entropy: a generalized approximation
• Detecting regular dynamics from time series using permutations slopes
• Conditional entropy of ordinal patterns
• Deterministic Nonperiodic Flow
• Renormalized entropy for one dimensional discrete maps: periodic and quasi-periodic route to chaos and their robustness
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