Image created by William Shaw using Mathematica.

Dynamics Home Page


Many problems in biology, computer science, control theory, and nonlinear dynamics make use of or attempt to infer models of dynamical systems. Vehicle routing, speech recognition, alignments and classification in molecular biology, and packet routing in communication networks are examples of problems that could profit from more efficient or more accurate methods for recovering and exploiting dynamical models. The dynamics research group at Brown studies prediction and control problems involving dynamical systems. This web page focuses on methods for learning dynamical systems from data.

As part of our investigation, we are developing a tutorial and helped to organize the AAAI Symposium on Dynamical Systems, in the spring of 1996. The tutorial is used for courses taught at Brown since the Fall of 1995.



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For further information, please contact
Thomas Dean, (tld@cs.brown.edu)
Sonia Leach, (sml@cs.brown.edu)
Hagit Shatkay, (hs@cs.brown.edu)



Last changed by Hagit Shatkay, 9/25/98