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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.
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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.
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Prognosis
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.
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Control
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.
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Competences
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Miscellaneous
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© Fraunhofer ITWM
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