Model-based simulation and optimization methods become increasingly important for the development of new products and more efficient processes. However, successful application of model-based methods demands for 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.
Industrial practice shows that in order to realize the full potential of modelling complex processes we have to deal with a number of new challenges. Because of the high relevance of parameter and state estimation methods for current and future research and development, the Heidelberg Collaboratory for industrial Optimization (HCO) invites decision makers, researchers and practitioners from academia and industry to participate in this workshop.
Primary goals are:
- present an overview of state-of-the-art methods for parameter and state estimation
- discuss current challenges in industry and academia
- identify requirements for the next generation of parameter and state estimation methods and software
- foster synergies and collaborations
This is the second workshop in a series on techniques for model-based optimization.
Application areas include (but are not limited to)
- Automotive Industry
- Biomedical Engineering
- Chemical Engineering
- Energy Systems
- Geomatics and Navigation
- Registration: NOW CLOSED! Early Bird Registration closed on Wednesday, September 30, 2015
- Abstract Submission: Submission closed on Wednesday, September 30, 2015