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 …

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

It is commonly observed that over the lifetime of most model predictive controllers, the
achieved performance degrades over time. This effect can often be attributed to the fact that …

In this study, a numerical procedure for designing an aircraft system-identification maneuver
with simultaneous flight-control deflections is described. The elevator, aileron, and rudder …

This paper presents a new method of identification experiment design for control. Our
objective is to design the open-loop identification experiment with minimal excitation such …

The main goal of estimating models for industrial applications is to guarantee the cheapest
system identification. The requirements for the identification experiment should not be …