CDC 2021 Workshop

Motivated by the ever growing interest towards data-based solutions within almost all engineering fields, this two-day workshop aims at bridging between classical system identification techniques and new trends emerging within the control, robotics and machine learning communities. The workshop will focus on recent strategies that combine the informative power of data with priors on the system/parameters to be learned, that can span from physical insights to human inputs. To this purpose, the workshop brings together some of the main voices working at the frontier between control and machine learning, coming from leading institutions in Europe and America. The target audience comprises graduate level control engineers, as well as researchers, that are interested in developing aware learning approaches and/or applying them to handle practical control problems. The workshop talks cover a wide range of techniques and domains by showing possible applications and challenges that have still to be faced, while offering new insights on this rapidly changing field.

organizers