[STADIUS] [Department of Electrical Engineering (ESAT)] [Faculty of Engineering] [KU Leuven]


(Database for the Identification of Systems)


Developed, maintained, and hosted by STADIUS

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.


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:

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:

If you feel another category should be added, send your suggestion with some motivation to DaISy.

How does it work?

Relevant links

Publications and Talks about DaISy

[STADIUS] [Department of Electrical Engineering (ESAT)] [Faculty of Engineering] [KU Leuven]
This file is maintained by Jeroen Boets. Last modification on February 22, 2008.