Chaos and Its Reconstruction

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The editors (of the Universite et Institut National des Sciences Appliquees de Rouen, France) present six chapters exploring the application of chaos theory to such topics as the topological characterization of attractors and the reconstruction of equations of motion from data. Specific topics include the development of a method of modeling called NARMAX (nonlinear autoregressive moving average models with exogenous outputs), a summary of the work of the Center of Applied Dynamics and Optimization at the U. of Western Australia), time delayed feedback systems, and global modeling applications to biological data and secure communication.Copyright © 2004 Book News, Inc., Portland, OR


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The editors (of the Universitè et Institut National des Sciences Appliquèes de Rouen, France) present six chapters exploring the application of chaos theory to such topics as the topological characterization of attractors and the reconstruction of equations of motion from data. Specific topics include the development of a method of modeling called NARMAX (nonlinear autoregressive moving average models with exogenous outputs), a summary of the work of the Center of Applied Dynamics and Optimization at the U. of Western Australia), time delayed feedback systems, and global modeling applications to biological data and secure communication. Annotation ©2004 Book News, Inc., Portland, OR


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