Reconstructing bifurcation diagrams only from time-series data generated by electronic circuits in discrete-time dynamical systems

DOI10.1063/1.5119187zbMath1431.37065OpenAlexW3000525119WikidataQ89512419 ScholiaQ89512419MaRDI QIDQ5218161

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Publication date: 28 February 2020

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

Full work available at URL: https://doi.org/10.1063/1.5119187

Mathematics Subject Classification ID

Time series analysis of dynamical systems (37M10) Computational methods for bifurcation problems in dynamical systems (37M20)

Cites Work

• Nonlinear prediction of chaotic time series
• Reconstructing bifurcation diagrams only from time-waveforms
• Recognizing chaotic time-waveforms in terms of a parametrized family of nonlinear predictors
• A Numerical Approach to Ergodic Problem of Dissipative Dynamical Systems
• Estimating the largest Lyapunov exponent and noise level from chaotic time series
• OBSERVATION OF A PERIOD DOUBLING BIFURCATION DURING ONSET OF HUMAN VENTRICULAR FIBRILLATION
• Unnamed Item

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