The links between identification and control are examined. The main trends in this research
area are summarized, with particular focus on the design of low complexity controllers from a …

This paper presents the author's views on the development of identification for control. The
paper reviews the emergence of this subject as a specific topic over the last 15 years, at the …

This article reviews the development of experiment design in the field of identification of
dynamical systems, from the early work of the seventies on input design for open loop …

All approaches to optimal experiment design for control have so far focused on deriving an
input signal (or input signal spectrum) that minimizes some control-oriented measure of …

A key issue in system identification is how to cope with high system complexity. In this
contribution we stress the importance of taking the application into account in order to cope …

In this article the author describes the development of system identification in the control
community as he has observed it over the last 30 years, both as a student of the subject …

A framework for reformulating input design problems in prediction error identification as
convex optimization problems is presented. For linear time-invariant single input/single …

The virtual reference feedback tuning (VRFT) is a data‐based method for the design of
feedback controllers. In the original formulation, the VRFT method gives a solution to the …

Parameter identification experiments deliver an identified model together with an ellipsoidal
uncertainty region in parameter space. The objective of robust controller design is thus to …

Model-based control design plays a key role in today's industrial practice, and industry
demands cuttingedge methods for identifying the necessary models. However, additional …