Optimal Representation of Experimental Data

No single state space reconstruction of experimental data is optimal for all scientific endeavors. This thesis is all about the coordinates used in reconstruction , the goals of reconstruction, and the criteria used to select optimal reconstructions. A learning algorithm is described , which when given a space of possible coordinates and an optimality criterion selects the best state space reconstruction. This method is applied to specific problems : modeling nonuniformly sampled data, computing the inferable dimension of a data set, and model-based control.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Physics

Year dc:date

2012

Author dc:creator

• Breeden, Joseph Lynn

Contributors dc:contributor

• Packard, Norman H.

• Experimental Data
• Space Reconstruction

Statement dc:rights

• ©1992 Joseph Lynn Breeden

Language dc:language

en

Identifier

3476423

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/29371