Editorial for the Special Issue on Learning‐based Adaptive Control: Theory and Applications

Summary The Special Issue presents results of current research on learning‐based adaptive methods, merging together model‐based and data‐driven adaptive approaches. The special issue contains two main types of contributions. The first type of papers presents new theoretical developments for learning‐based adaptive algorithms, while the second type focuses on challenging practical applications ranging from UAVs, and autonomous vehicles, to heating and ventilation systems. These papers are compiled in a special issue of the journal. To access all of the papers please follow the following link ( https://onlinelibrary.wiley.com/toc/10991115/2019/33/2 ).