[STADIUS]
[Department of Electrical Engineering (ESAT)]
[Faculty of
Engineering]
[KU Leuven]
What is System Identification?
System Identification is the discipline of making mathematical models
of systems, starting from experimental data, measurements, observations.
Typically, a certain model structure is chosen by the user which contains
unknown parameters (i.e. one puts forward a certain parameterisation).
Having the model of a system is often very important for analysis, simulation,
prediction, monitoring, diagnosis, control system design,...
For more information about System Identification, you can take a
look at our System
Identification page.
Motivation
The goal of this database is to serve as a platform for the interchange
of information and data in the field of System Identification. There are
several objectives for this:
- Reproducibility of experimental results is one of the cornerstones
of modern scientific research;
- Cost-effectiveness, since most experimental datasets will now be
publically available, and measurement set-ups are not to be repeated;
- The possibility that certain datasets will evolve into real
benchmarks;
- The fact that this database will stimulate interaction and
collaboration between researchers active in system identification;
- Standardized referencing to datasets;
- Comparison of concepts, methods and algorithms;
- Falsifiability: each theory should contain in itself the leverages
by which it can be falsified. Data are instrumental in doing so.
How is this database organised?
The datasets reside on STADIUS's
FTP-site, and can be consulted through
this page.
The following data categories are available:
- Process industry systems
- Electrical/electronic systems
- Mechanical systems
- Biomedical systems
- Biochemical systems
- Econometric data
- Environmental systems
- `Classical' datasets
- Thermic datasets
If you feel another category should be added, send your
suggestion with some motivation to
DaISy.
How does it work?
[STADIUS]
[Department of Electrical Engineering (ESAT)]
[Faculty of
Engineering]
[KU Leuven]
This file is maintained by
Jeroen Boets. Last
modification on February 22, 2008.