Data Driven Control of Constrained Dynamical Systems

Our society is increasingly data-driven. Smartphones, computers, and smart sensors acquire, store, and transmit myriads of data, more and more easily. A major challenge for scientists is how to best use the information contained in the data. In particular, control theorists need to better understand how to design algorithms that take automatic decisions on the basis of data, both recorded offline and acquired in real-time from sensors. The aim of this project is to provide fundamental scientific advances on how to design control systems directly from data.