Abstract
In time of industry 4.0 and big data, data-driven schemes are receiving considerable research attention. On the other hand, model-based control and diagnosis framework has been well established in the past decades and successfully applied to dynamic control systems. The focus of this presentation is on the introduction to some recent research efforts towards establishing a data-driven framework for diagnosis and control of dynamic systems on the basis of the well-established system and control theory. It includes some basic ideas, design and implementation schemes as well as the associated mathematic and control theoretic tools.
