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 …

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 …

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

This paper deals with Data-Driven (DD) control design in a Model Reference (MR)
framework. We present a new DD method for tuning the parameters of a controller with a …

The aim of this article is to give a tutorial overview of frequency response function (FRF) or
impulse response (IR) function measurements of linear dynamic systems. These …

In this work, an identification based fault detection method is proposed. The idea is to
identify a dynamic process model from test data and to generate residuals using the …

This report discusses problems and methodologies that lie in the broad scope of systems
and signals, with special focus on modeling, identification and signal processing; adaptation …

This paper examines the identification of multi-input systems. Motivated by an experiment
design problem (should one excite the various inputs simultaneously or separately), we …