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Analysis of Observed Chaotic Data (Institute for Nonlinear Science)
Henry D.i. Abarbanel (Author)
·
Springer
· Hardcover
Analysis of Observed Chaotic Data (Institute for Nonlinear Science) - Henry D.I. Abarbanel
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Synopsis "Analysis of Observed Chaotic Data (Institute for Nonlinear Science)"
Regular Dynamics: Newton to Poincaré; KAM Theorem Bifurcations: Routes to Chaos, Stability and Instability Reconstruction of Phase Space: Regular and Chaotic Motions; Observed Chaos Choosing Time Delays: Chaos as an Information Source; Average Mutual Information. Choosing the Dimension of Reconstructed Phase Space Invariants of the Motion: Global & Local Lyapunov Exponents; Lorenz Model Modeling Chaos: Local & Global Models; Phase Space Models Signal Separation: Probabilistic Cleaning; 'Blind' Signal Separation Control and Chaos: Parametric Control; Examples of Control (including magnetoelastic ribbon, electric circuits, cardiac tissue) Synchronization of Chaotic Systems: Identical or Dissimilar Systems; Chaotic Nonlinear Circuits Other Example Systems: Laser Intensity Fluctuations; Volume Fluctuations of the Great Salt Lake; Motion in a Fluid Boundary Layer Estimating in Chaos: Cramér-Rao Bounds The Chaos Toolkit: Making 'Physics' out of Chaos
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The book is written in English.
The binding of this edition is Hardcover.
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