WORKSHOP
INDUSTRIAL APPLICATIONS OF LOW ORDER MODELS
BASED ON PROPER ORTHOGONAL DECOMPOSITION (POD)


BORDEAUX
march 31 - april 02  2008


Detailled program Abstracts



Monday afternoon



12h00 


Lunch and registration. (Lunch included for all participants)
14h00 


Karl Kunish
Institute for Mathematics and Scientific Computing, University of Graz, 
Proper Orthogonal Decomposition in PDE-Constrained Optimization
Abstract | Slides (pdf 3.0Mo)
15h00 


Bernd R. Noack
Technische Universität Berlin
Shear flow compositions on the Galerkin piano: A unified theory for instabilities, strange attractors, statistical mechanics, and attractor control
Abstract | Slides (pdf 3.7Mo)
16h00 


Coffee break
16h30 


Dietmar Rempfer
Mechanical, Materials and Aerospace Engineering, IIT, Chicago
Sequential Approximation of Velocity Fields Using Episodic POD
Abstract | Slides (pdf 2.8Mo)
17h30 


Jessie Weller
Institut de Mathématiques de Bordeaux
An accurate reduced order model for unsteady flows controlled by synthetic jets
Abstract | Slides (pdf 0.4Mo)
18h00 



Tuesday



09h00 


Athanasios C. Antoulas
Dept. of Electrical and Comput. Engr., Rice Univ., Houston
A short overview of model reduction methods and some new results
Abstract | Slides (pdf 7.3Mo)
10h00 


Coffee break
10h30 


I. Michael Navon
Department of Mathematics, Florida State University
POD model reduction of large scale geophysical models
Abstract | Slides (pdf 5.0Mo)
11h30 


Eric Blayo
INRIA Rhones-Alpes
Reduced order approaches for variational data assimilation in an ocean circulation model
Abstract | Slides (pdf 13.4Mo)
12h30 


Lunch (included for all participants).
14h00 


Karen E. Willcox
Department of Aeronautics and Astronautics, MIT, Cambridge
Model reduction for large-scale applications in probabilistic analysis and inverse problems
Abstract | Slides (pdf 3.6Mo)
15h00 


Clarence W. Rowley
Dept. of Mechanical and Aerospace Engineering, Princeton University
Reduced-order models for fluids, using approximate balanced truncation and dynamically scaling modes
Abstract | Slides (pdf 11.3Mo)
16h00 


Coffee break
16h30 


SS Ravindran
University of Alabama, Huntsville
Error Estimates for POD based Reduced Order Model of an MHD System
Abstract | Slides (pdf 3.0Mo)
17h30 


Edoardo Lombardi
Institut de Mathématiques de Bordeaux
A POD based non-linear observer for unsteady flows
Abstract | Slides (pdf 1.4Mo)
18h00 



Wednesday



09h00 


Laurent Cordier
LEA, Poitiers
Calibration of POD-based Reduced Order Models
Abstract | Slides (pdf 1.0Mo)
09h30 


Michel Bergmann
INRIA Bordeaux Sud Ouest, IMB, Bordeaux
Improvement of Reduced Order Modeling based on Proper Orthogonal Decomposition
Abstract | Slides (pdf 9.5Mo)
10h00 


Coffee break
10h30 


Lionel Mathelin
LIMSI-CNRS, Orsay
Model reduction for fluid flows in a probabilistic framework. Application to control
Abstract | Slides (pdf 16.3Mo)
11h30 


Industrials meeting
12h30 


Lunch (included for all participants).