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 …

This paper traces the strong relations between experimental design and control, such as the
use of optimal inputs to obtain precise parameter estimation in dynamical systems and the …

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 …

This paper develops the idea of min–max robust experiment design for dynamic system
identification. The idea of min–max experiment design has been explored in the statistics …

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 …

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

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 …

In prediction error identification, the information matrix plays a central role. Specifically,
when the system is in the model set, the covariance matrix of the parameter estimates …