Our group's main goal is to develop system identification techniques and control algorithms for nuclear fusion reactors. In a nuclear fusion reactor complex process take place which can be diagnosed using sensors and modified using actuators. Dynamic models of the physical processes, the various actuators, and sensors, are necessary to successfully control of a fusion reactor. Our group develops such (fast) dynamic models and feedback control algorithms for the main challenges in nuclear fusion. These include magnetic control, distributed parameter identification and control, exhaust modelling and control, burn-through and break-down control for reactor start up. Moreover, using our knowledge and experience, we work on various solar fuels projects within our institute and support various research outside our institute, for instance, parameter identification research in hydrology.
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