Data-driven and model-based design
Stavros Tripakis · 2018
This paper explores novel research directions arising from the revolutions in artificial intelligence and the related fields of machine learning, data science, etc. We identify opportunities for system design to leverage the advances in these disciplines, as well as to identify and study new problems. Specifically, we propose Data-driven and Model-based Design (DMD) as a new system design paradigm, which combines model-based design with classic and novel techniques to learn models from data.