DFG-Sonderforschungsbereich 555 "Komplexe Nichtlineare Prozesse"
Fritz-Haber-Institut der Max-Planck-Gesellschaft, Max-Delbrück-Centrum für molekulare Medizin Berlin, Otto-von-Guericke-Universität Magdeburg, Physikalisch-Technische Bundesanstalt, Technische Universität Berlin
Seminar
"Complex Nonlinear Processes
in Chemistry and Biology"
Honorary Chairman: Gerhard Ertl
Organizers: | M. Bär, H. Engel, M. Falcke, M. Hauser, A. S. Mikhailov, P. Plath, H. Stark |
Address: | Richard-Willstätter-Haus, Faradayweg 10, 14195 Berlin-Dahlem. (Click here for a description how to get there.) |
For information please contact Oliver Rudzick, Tel. (030) 8413 5300, rudzick@fhi-berlin.mpg.de.
Arik Yochelis
(Department of Chemical Engineering, Technion, Haifa, Israel)
Towards Biochemical Control of Physiological Self-Organization [Abstract]
Takao Ohta
(Department of Physics, Kyoto University, Japan)
Dynamics of deformable self-propelled particles [Abstract]
Fred Wolf
(Max-Planck-Institut für Dynamik und Selbstorganisation, Göttingen)
Universality and self-organization in the evolution of the visual cortex [Abstract]
Yasuaki Kobayashi
(Fritz-Haber-Institut der Max-Planck-Gesellschaft)
Design of multi-cluster and desynchronized states in oscillatory
media by nonlinear global feedback [Abstract]
Rudolf Friedrich
(Institut für Theoretische Physik, Westfälische Wilhelms-Universität Münster)
Ratchet effect and the inverse cascade of turbulence
[Abstract] CANCELLED DUE TO ILLNESS!
Ulrich Parlitz
(Drittes Physikalisches Institut, Universität Göttingen)
Nonlinear modeling and data analysis
Abstract:
Evaluating existing models or deriving new models using measured or
observed data is a typical task in dynamical systems research.
Depending on pre-knowledge about the process of interest and
availability and quality of suitable time series, we shall
address different cases ranging from purely data-driven black-box
modeling to data assimilation and model evaluation. Approaches
to be presented will include probabilistic forecasts using
cluster weighted models, as well as parameter estimation and
system identification techniques employing invasive and non-invasive
control methods that are applied to excitable and oscillatory
(chaotic) systems.
last modified: January 11, 2010 / Oliver Rudzick