Guest Editorial Introduction to the Special Issue of the IEEE L-CSS on Learning and Control

Recent advances in machine learning and artificial intelligence have provided astounding performance gains in several domains, including computer vision, natural language processing and recommender systems, in particular when massive data is involved, and large computational power is needed. Similarly, modern control theory techniques have found very successful application in the analysis and control design of complex systems, for example in robotics and in the automotive industry. The connection between machine learning and control theory is more and more pertinent in view of the promise to surpass the potentialities of each discipline.