A revolution in control theory thought happened in the early 1970s when the dominant focus
of research shifted from optimality to robustness in response to unexpected failures of …

The presence of uncertainty in a system description has always been a critical issue in
control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain …

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 …

Manufacturing equipment and scientific instruments, including wafer scanners, printers,
microscopes, and medical imaging scanners, require accurate and fast motions. An increase …

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 …

Methods for model validation of continuous-time nonlinear systems with uncertain
parameters are presented in this paper. The methods employ functions of state-parameter …

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 …

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