Thursday, May 27

Modeling of Chaotic Systems

10:00 AM-12:00 PM
Room: Ballroom I

Scientists attempt to understand physical phenomena by constructing models, and a fundamental goal is to develop models whose solutions reflect the nature of the physical process. A dynamical model uses simplifying assumptions in the hope of capturing the essential characteristics in the evolution of a physical system over time. The development of models is based on experiments or observations. The speakers in this minisymposium will discuss different approaches to using data to construct models and address the difficulties in modeling dynamical processes with high complexity.

Organizers:Ulrike Feudel
Potsdam University, Germany
Celso Grebogi
University of Maryland, College Park

10:00-10:25 Obstruction to Modeling
Celso Grebogi, Organizer
10:30-10:55 Construction of ODE Models from Experimental Data
Holger Kantz, Rainer Hegger, and Ralf-Peter Kapsch, MPI Physik Komplexer Systeme, Dresden, Germany
11:00-11:25 Reconstruction of High-Dimensional Nonlinear Models from Data
Henning Voss and Jürgen Kurths, Potsdam University, Germany
11:30-11:55 Modeling Multistable Systems
Ulrike Feudel, Organizer; and Suso Kraut, Potsdam University, Germany

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MMD, 2/9/99
LMH, 1/11/99; tjf, 2/3/99