Chair HS


There is a tremendous need for insight in systems that interact with their environment and the design of controllers for these systems. This need is only growing since the industry requires more automation, higher accuracies and additional flexibility. An autopilot no longer is limited to maintain constant elevation and velocity of an aircraft but should also be able to handle involved maneuvers such as take-off and landing. In nanotechnology, unprecedented accuracy has to be achieved in, for instance, positioning during chip manufacturing. In process technology large investment in equipment requires multiple use and efficient switching between production stages. External inputs need to be chosen, based on measurements, to guarantee this smooth switching. For this kind of tasks, it is no longer possible to decompose the system in simple subsystems. The increased accuracy and flexibility also requires more complex models and traditional linear, finite-dimensional models will not suffice. Restricting attention to simple models was needed in the past due to the bottleneck imposed by the computing power for embedded controllers. Due to major advances in computers this is no longer the prime restriction.

In our group, we study classes of models, which involve infinite-dimensional systems (described by PDE’s instead of ODE’s), nonlinear systems and hybrid models (combining discrete actions such as switches with continuous actions such as external forces). We also focus on signal analysis, which becomes more and more crucial in the context of systems and control.

Publications of the group can be found on a separate page. For details of the different research themes we refer to the different pages below: