Quantifying Chaos with Predictive Flows and Maps: Locating Unstable Periodic Orbits

  • Leonard A. Smith
Part of the NATO ASI Series book series (NSSB, volume 208)


Several authors have suggested methods for constructing “predictors” from time series data. It is shown that using one type of predictor, constructed with radial basis functions, for some known chaotic systems, the existence of unstable periodic orbits may be established using much less data than that required by alternative methods. The general question of quantifying the error in a predictor is also addressed. Considering the fraction of the data that can be predicted as a function of the accuracy of the prediction provides a method of distinguishing different sources of error in the predictor and, in doing so, yields an estimate of the magnitude and distribution of the observational noise in the system.


Periodic Orbit Radial Basis Function Lyapunov Exponent Chaotic System Base Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Plenum Press, New York 1989

Authors and Affiliations

  • Leonard A. Smith
    • 1
  1. 1.Department of Applied Mathematics and Theoretical PhysicsUniversity of CambridgeCambridgeUK

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