Modeling in Information-Rich Environments
- Reference number
- I06-0266
- Start and end dates
- 070901-110831
- Amount granted
- 3 000 000 SEK
- Administrative organization
- KTH - Royal Institute of Technology
- Research area
- Information, Communication and Systems Technology
Summary
The main objective in the proposed research project is to develop modeling methods for systems that act in information-rich environments. Systems in information-rich environments are systems where we have access to large amounts of measurement data. Often these systems are networked systems, and they can be both man-made and natural. Examples are found in, for instance, the car and truck industries, in the mobile phone industry, and in systems biology. The work plan includes three related projects. The first project deals with the problem of fitting simple structured models to networked information-rich systems. This will require the methods to be able to take large amounts of measurement data into account. The methods should also give guidance on how to simplify the interconnection structure and the dynamics of the model. The second project deals with the problem of simplifying models with respect to simulation time. This is important to be able to use the models in time-critical applications, such as in control engineering. The third project is more theoretical and deals with the problem of finding fundamental limitations for control and estimation in large networked systems. This is important to help us understand what we can and cannot achieve with our systems. These results are expected to be useful both in industry and in academic fields where various aspects of modeling of these systems are considered.