System Analysis, Prognosis and Control

Fraunhofer Institute for Industrial Mathematics ITWM

Based on its core competences in system theory and data analytical methods the department deals with the modelling, analysis, prognosis and control of complex system and process behaviour both in the technical and the biological/medical environment.

System Analysis

Starting from process models constructed out of first principles, measurement data and/or expert knowledge mixed symbolical/numerical analysis techniques allow the derivation of fundamental system properties. Model reduction techniques play a central role both for a deeper system understanding, complex system simulations and controller designs.


Prognosis models that were identified considering possible disturbance sources and system uncertainties allow the reliable prediction of the system behaviour in case of unknown inputs. The combination of those prognosis models with interactive visual navigation tools leads to highly efficient multicriterial decision support tools.


Concerning the design of monitoring systems and control algorithms the main focus lies on model based techniques, standard topics like PID-control however are covered as well. Special competences exist in the topic of robust observer and controller design to consider model uncertainties and nonlinear system behaviour e.g. dead time and hysteresis.