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• W2076806622 endingPage "R3085" @default.
• W2076806622 startingPage "R3082" @default.
• W2076806622 abstract "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." @default.
• W2076806622 created "2016-06-24" @default.
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• W2076806622 date "1996-10-01" @default.
• W2076806622 modified "2023-09-27" @default.
• W2076806622 title "Tool to recover scalar time-delay systems from experimental time series" @default.
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• W2076806622 doi "https://doi.org/10.1103/physreve.54.r3082" @default.
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