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

Abstract

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).