Adaptive and iterative control algorithms based on explicit criterion minimization are briefly
reviewed and an overview of one such algorithm, iterative feedback tuning (IFT), is …

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 …

Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/
approximation of a system with a finite length expansion. By flexibly tuning the basis …

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 …

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 …

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 …

The standard machinery for system identification of linear time-invariant (LTI) models
delivers a nominal model and a confidence (uncertainty) region around it, based on (second …

One of the most active areas of research in the nineties has been the study of the interplay
between system identification and robust control design. It has led to the development of …

We propose a model validation procedure that consists of a prediction error identification
experiment with a full order model. It delivers a parametric uncertainty ellipsoid and a …