Home
 
   Home
 General Info
   Overview
   People
   Visitor Info
   Links
   Impressum
 Research
   Topics
   Publications
   Awards
 Education
   Courses
   Thesis Projects
   eLearning
   Bulletin Board
   Student
     Exchange
   More...
 News
   Seminars
   Events
   In the Press
   Jobs
 
printable view back

Einladung zum Vortrag im Kolloquium Technische Kybernetik

  Transition probabilities for piecewise affine models of genetic networks

Dr. Madalena Chaves
INRIA Sophia Antipolis
Institut National de la Recherche en Informatique et Automatique
France

    Zeit: Wednesday, 23 June 2010, 9:30 am
Ort: IST-Seminarraum 3.243 · Pfaffenwaldring 9 · Campus Stuttgart-Vaihingen

Abstract

In the piecewise affine framework, trajectories evolve among hyperrectangles in the state space. A qualitative description of the dynamics - useful for models of genetic networks - can be obtained by viewing each hyperrectangle as a node in a discrete system, so that trajectories follow a path in a transition graph. In this paper, a probabilistic interpretation is given for the transition between two nodes A and B, based on the volume of the initial conditions on hyperrectangle A whose trajectories cross to B. In an example consisting of two intertwinned negative loops, this probabilistic interpretation is used to predict the most likely periodic orbit given a set of parameters, or to find parameters such that the system is controlled with a high probability to desired periodic orbit.

Biographical Information

M. Chaves has a PhD in Mathematics from Rutgers University (USA). She was a visiting scientist at Sanofi-Aventis (New Jersey, USA) between 2003 and 2005, and held a post-doctoral fellowship at the Institute for Systems Theory and Automatic Control (University of Stuttgart, Germany) in 2005-2006. She is a permanent research scientist at INRIA Sophia Antipolis (Institut National de la Recherche en Informatique et Automatique, France) since February 2007, in the team COMORE - Modelling and Control of Renewable Resources. Her research interests include the analysis of dynamical systems, in particular problems related to stability, robustness and control of nonlinear systems, and applications to the modelling and analysis of biological networks.



Weitere Informationen:
Prof. Dr.-Ing. Frank Allgöwer · Institut für Systemtheorie und Regelungstechnik · 0711 685 67738 · allgower@ist.uni-stuttgart.de
Uni logo Universität Stuttgart