Model-free optimal control
Automated control in general and optimal control in particular typically rely on a good mathematical model of your system.
Unfortunately, some systems such as power grids or traffic systems are so big and complex that it is impossible to get an accurate model. What can you do?
Saverio Bolognani, winner of ETH’s Golden Owl teaching award, has an answer for you, brilliantly explained in his slides on Online feedback optimisation.
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
Decision making for cascading uncertainty - by Mengmeng Li