Proceedings of the IEEE · 1987 · 417 citations · 19 references
Natural SciencesMathematicsPhysicsDynamical SystemsTime Series AnalysisBifurcation TheoryChaos TheoryControl Of Dynamical SystemsDynamic Systems AnalysisLyapunov ExponentsNonlinear DynamicsAttractor DynamicsChaos In Dynamical SystemsChaotic AttractorsChaotic DynamicsChaotic Time Series AnalysisLyapunov DimensionLyapunov StabilityPoincaré Map Analysis
This tutorial presents an in-depth introduction to chaos in dynamical systems, and presents several practical techniques for recognizing and classifying chaotic behavior. These techniques include the poincaré map, Lyapunov exponents, capacity, information dimension, correlation dimension, Lyapunov dimension, and the reconstruction of attractors from a single time series.
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Determining Lyapunov exponents from a time series
Alan Wolf, J. B. Swift, Harry L. Swinney et al. · Physica D Nonlinear Phenomena · 1985 · 9.4K citations · Full text
Measuring the strangeness of strange attractors
Peter Grassberger, Itamar Procaccia · Physica D Nonlinear Phenomena · 1983 · 5.6K citations
Ergodic theory of chaos and strange attractors
Jean‐Pierre Eckmann, David Ruelle · Reviews of Modern Physics · 1985 · 4.9K citations
Otto E. Rössler · Physics Letters A · 1979 · 1.4K citations