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Title:Long-range predictability of high-dimensional chaotic dynamics
Author(s):Meyer, Thomas Patrick
Doctoral Committee Chair(s):Packard, Norman H.
Department / Program:Physics
Discipline:Physics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Physics, General
Abstract:This thesis concerns the long range prediction of high dimensional chaotic systems. To this end, I investigate the important relationship between predictability and non-uniformity of information loss throughout the state space of a chaotic system. I introduce a genetic algorithm to build predictive models by exploiting this nonuniformity. The algorithm searches for the regions of state space which remain most predictable for a given time into the future. I use the algorithm to investigate the predictability of both model chaotic systems and physical data from a fluid flow experiment.
Issue Date:1992
Type:Text
Language:English
URI:http://hdl.handle.net/2142/22574
Rights Information:Copyright 1992 Meyer, Thomas Patrick
Date Available in IDEALS:2011-05-07
Identifier in Online Catalog:AAI9215856
OCLC Identifier:(UMI)AAI9215856


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