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- W1991781189 abstract "We examine the sensitivity of noisy time series of data from a chaotic system to changes in the parameters of the system. The investigation yields two insights: (1) A small fraction of the data contains most of the information about the parameters. (2) For one-parameter families of systems, there is often a preferred direction in parameter space governing how easily trajectories of nearby systems shadow each other. A parameter estimation algorithm is presented that leverages these properties of chaotic systems to yield estimate errors that decrease as ${1/N}^{2}$, where $N$ is the number of state samples used." @default.
- W1991781189 created "2016-06-24" @default.
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- W1991781189 date "1997-07-01" @default.
- W1991781189 modified "2023-09-27" @default.
- W1991781189 title "Parameter sensitivity of noisy chaotic time series" @default.
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- W1991781189 doi "https://doi.org/10.1103/physreve.56.235" @default.
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