Control theory is crucial in an increasingly complex world.
Siep Weiland is Full Professor in the Control Systems Group of the Department of Electrical Engineering at Eindhoven University of Technology. His research interests are the general theory of systems and control, robust control, model approximation, modeling and control of hybrid systems, identification, and model predictive control. Weiland was Associate Editor of the IEEE Transactions on Automatic Control from 1995 to 1999, of the European Journal of Control from 1999 to 2003, of the International Journal of Robust and Nonlinear Control from 2001 to 2004. He is currently an Associate Editor for Automatica. He was co-organizer of the 13th IFAC Symposium on System Identification in 2003. Weiland has also been on the board of the Dutch Institute of Systems and Control (DISC), and is still a staff member there.
Siep Weiland received both his MSc (1986) and PhD (1991) degrees in mathematics from the University of Groningen. He worked as postdoctoral research associate at the Department of Electrical Engineering and Computer Engineering of Rice University (USA) from 1991 to 1992. Since 1992, Weiland has been affiliated with Eindhoven University of Technology (TU/e). In 2010, Weiland was appointed full-time professor in Spatial-temporal Systems for Control.
Constrained order observer design for disturbance decoupled output estimationIEEE Control Systems Letters (2019)
A novel Krylov method for model order reduction of quadratic bilinear systems57th IEEE Conference on Decision and Control (CDC 2018) (2018)
Model approximation of thermo-fluidic diffusion processes in spatially interconnected structures16th European Control Conference, ECC 2018 (2018)
Affine parameter-dependent Lyapunov functions for LPV systems with affine dependenceIEEE Transactions on Automatic Control (2018)
A separation theorem for guaranteed H2 performance through matrix inequalitiesAutomatica (2018)
- Model reduction
- Selected topics in systems and control
- Modeling dynamics
- Knowledge based control systems
- Systems & control integration project
- Non-linear optimization
No ancillary activities