MS20* ~ Monday, May 22, 1995 ~ 10:00 AM*
## Modeling Nonlinear Dynamical Systems:
Applications

For several years there has been an enormous effort devoted to modeling nonlinear dynamical systems from time series data. These methods typically begin with a time series and, after phase space reconstruction, produce a model capable of predicting the time evolution of initial conditions in the phase space. What has been absent is a discussion of the question: What good are these models? The speakers of this minisymposia will address this question. After presenting a modeling procedure each speaker will discuss how the model can be used address a problem of practical, industrial, or commercial interest.
Organizer: Reggie Brown, University of California, San Diego

**Chaos and Detection**
*Andrew M. Fraser*, Portland State University; and Qin Cai, University of Texas, Austin
**Predicting Noisy Time Series**
- Andreas Weigend, University of Colorado, Boulder
**Nonlinear Modeling - Why Bother?**
- Stephen Eubank, Los Alamos National Laboratory
**Using Models to Diagnose, Test, and Control Chaotic Systems**
- Reggie Brown, Organizer

*3/15/95*