Estimating the Lyapunov exponents of chaotic time series: A model based method

Keyphrases

• Model-based Method 100%
• Lyapunov Exponent 100%
• Chaotic Time Series 100%
• Embedding Dimension 66%
• Polynomial Model 66%
• Prediction Error 33%
• Jacobian 33%
• Novel Criterion 33%
• System Dynamics 33%
• Model Fitting 33%
• Multivariate Time Series 33%
• Model Order 33%
• Polynomial Degree 33%
• Jacobian Matrix 33%
• Factorization Method 33%
• QR Factorization 33%
• Chaotic System 33%
• Global Polynomial 33%
• Degree of Nonlinearity 33%
• Reconstruction Parameters 33%
• Univariate Case 33%
• Reconstructed State Spaces 33%
• Proposed Methodology 33%
• Polynomial Modeling 33%

Mathematics

• Lyapunov Exponent 100%
• Polynomial Model 66%
• Polynomial 33%
• Matrix (Mathematics) 33%
• Factorization Method 33%
• Prediction Error 33%
• Univariate Case 33%
• QR Factorization 33%
• Nonlinearity 33%

Computer Science

• Lyapunov Exponent 100%
• Jacobian matrix 66%
• State Space 33%
• Multivariate Time Series 33%
• Prediction Error 33%
• System Dynamics 33%
• Univariate Case 33%
• Chaotic System 33%