Nonlinear Sciences – Chaotic Dynamics
Scientific paper
1999-06-15
Phys. Rev E 54 (1997) R3082
Nonlinear Sciences
Chaotic Dynamics
Scientific paper
10.1103/PhysRevE.54.R3082
We propose a method that is able to analyze chaotic time series, gained from exp erimental data. The method allows to identify scalar time-delay systems. If the dynamics of the system under investigation is governed by a scalar time-delay differential equation of the form $dy(t)/dt = h(y(t),y(t-\tau_0))$, the delay time $\tau_0$ and the functi on $h$ can be recovered. There are no restrictions to the dimensionality of the chaotic attractor. The method turns out to be insensitive to noise. We successfully apply the method to various time series taken from a computer experiment and two different electronic oscillators.
Bünner Martin J.
Kittel Achim
Meyer Th.
Parisi Joseph
Popp Markus
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