Measure attractors and Markov attractors
نویسندگان
چکیده
منابع مشابه
Divergence measure between chaotic attractors.
We propose a measure of divergence of probability distributions for quantifying the dissimilarity of two chaotic attractors. This measure is defined in terms of a generalized entropy. We illustrate our procedure by considering the effect of additive noise in the well known Hénon attractor. Finally, we show how our approach allows one to detect nonstationary events in a time series.
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There are two examples given in section 3.3 of the paper (pages 349– 352). The first of the two examples is a three matrix product cycle in four states. Here one may label this three matrix product cycle by assigning letters to each matrix. Let the cycle be . . .ABC . . . . A stationary cycle of state probability distributions and two state paths are given that do correspond to the product cycl...
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ژورنال
عنوان ژورنال: Dynamical Systems
سال: 2008
ISSN: 1468-9367,1468-9375
DOI: 10.1080/14689360701783232