Chaotic Title

Self-Emergence of Chaos in Identifying Irregular Periodic Behavior
Oscar DE FEO
Laboratory of Nonlinear Systems
Swiss Federal Institute of Technology Lausanne
EL-E, EPFL-I&C-LANOS, CH-1015 Lausanne, Switzerland
Phone:+41-21-693-5683, Fax:+41-21-693-6700
Email: Oscar.DeFeo@epfl.ch
Abstract — In order to exploit generalized chaotic synchronization
phenomena for the solution of temporal pattern
recognition problems, a chaotic dynamical system representing
the class of signals that are to be recognized must be established.
This system can be determined by means of identification
techniques. Although the fulfillment of the chaotic
condition could appear as a constraint, it is shown here that,
for a very simple identification algorithm, chaos self-emerges
when a model, fitting unprecise periodic signals, is identified.
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