Automating and optimising industrial production
Manufacturing poses a wide range of interesting control challenges. Our research interests span from optimising production robots such as pick-and-place machines to improving performance of 3D printers with optimal feedback control. See the related articles below to learn about the different challenges. We will keep adding contents as we go.
How to combine safe and reliable control with high-performance learning-based strategies - by Nicolas Kirsch
How to optimally schedule district heating operation to support the electricity grid - by Giacomo Mastroddi and Marco Muttoni
How to decide upon groceries daily and what this has to do with time-varying optimisation problems - by Xian Li
Mitigating the detrimental effect of AI on the power grid - by Jethusan Jeyaruban
How to increase the transmission capacity of the electric power grid efficiently and economically - by Samuel Renggli
Accelerating life-saving decisions through efficient sampling - by Buse Sen