HCO Challenge Workshop Parameter and State Estimation Methods - Software - Applications
 

Model-based simulation and optimization methods become increasingly important for the development of new products and more efficient processes. Fundamental requirement to leverage the full potential of model-based methods is the development of predictive mathematical models and their quantitative validation. This complex task requires robust and efficient numerical methods for parameter estimation. Furthermore, advanced control of processes in real time needs fast and reliable numerical methods for state estimation. This workshop aims to bring together developers of numerical methods and practitioners from
academia and industry.

- present an overview of state-of-the-art methods for parameter and state estimation.
- discuss current challenges in industry and academia and identify requirements for the next generation of methods and software.
- foster synergies and collaborations.

 

Austrian Institute of Technology, BASF SE, Deutsche ACCUmotive GmbH & Co. KG, Heidelberg University, HS Karlsruhe, SAS Institute GmbH,TU Berlin, TU Dortmund.
 

Abstract Submission: Sept. 30, 2015
Early Bird Registration: Sept. 30, 2015

Note that the number of participants and presentation slots is limited.
Please register at http://hco.iwr.uni-heidelberg.de.
 

-Committee for Mathematical Modeling, Simulation and Optimization (KoMSO)
-Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp)
-Heidelberg University Mathematics Center Heidelberg (MATCH)
-Interdisciplinary Center for Scientific Computing (IWR)