FROM EXPERIMENTS TO CLOSED LOOP CONTROL

摘要

In this paper we examine the links between identification and control. The main trends in this research area are summarized, with particular focus on design of low complexity controllers. It is argued that a guiding principle should be to model as well as possible before any model or controller simplifications are made, as this ensures the best statistical accuracy. Particular attention is given to the experiment design issue since well-designed experiments facilitates this task. Furthermore, the interaction between experimental constraints and performance specifications is discussed.