THE ANALYSIS OF CHAOTIC TIME-SERIES DATA

This paper presents a brief survey of time-series analysis methods tha t are applicable to processes whose behavior can be described as low-d imensional chaos. The goal of these methods is to allow experimentalis ts to obtain local estimates of the dynamics directly from a set of da ta. These estimates are often sufficiently accurate to attempt noise r eduction, prediction, and control. (C) 1997 Elsevier Science B.V.