This paper presents a brief survey of time-series analysis methods that are applicable to processes whose behavior can be described as low-dimensional chaos. The goal of these methods is to allow experimentalists to obtain local estimates of the dynamics directly from a set of data. These estimates are often sufficiently accurate to attempt noise reduction, prediction, and control.
- Chaotic dynamics
- Time series
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science(all)
- Mechanical Engineering
- Electrical and Electronic Engineering