Showing papers by "Michel Gevers published in 2006"
TL;DR: In this article, the authors consider the problem of finding the (constrained) input signal that minimizes a measure of a control-oriented model uncertainty set, where the control objective is disturbance rejection only.
195 citations
TL;DR: In this paper, the authors describe the development of system identification in the control community as they have observed it over the last 30 years, both as a student of the subject eager to learn and understand the work of his colleagues and as an active participant in these developments.
Abstract: 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 eager to learn and understand the work of his colleagues and as an active participant in these developments. This article attempts to exhibit both the continuity and the motivation for developments in system identification in the last 30 years and also the significant new departures and insights that came as the result of some important breakthroughs
128 citations
TL;DR: It is shown that the accuracy improvement extends beyond the case of common parameters in all transfer functions, and it is shown exactly which parameter estimates are improved when a new input is added.
64 citations
TL;DR: A review of the evolution of the main tools and results for optimal experiment design for system identification can be found in this article, with a focus on the accuracy of the parameters of the input-output transfer function estimate.
27 citations
01 Jan 2006
TL;DR: The chapter highlights the key influence of Lennart Ljung on the development of Prediction Error Identification; it shows how his seminal contributions have profoundly changed the community’s view on identification from a search for the elusive "true system" to a goaloriented design problem.
Abstract: This chapter presents a personal view on the development of identification theory in the control community, starting from the year 1965. We show how two landmark papers, (Ho and Kalman, 1965) and (Astrom and Bohlin, 1965), gave birth to two main streams of research that have dominated the development of system identification over the last fourty years. The Ho-Kalman paper gave a first solution to state-space realization theory, which led to stochastic realization, and much later to subspace identification. The Astrom-Bohlin paper laid the foundations for the highly successful Prediction Error methods based on parametric input-output models. The chapter highlights the key influence of Lennart Ljung on the development of Prediction Error Identification; it shows how his seminal contributions have profoundly changed the community’s view on identification from a search for the elusive "true system" to a goaloriented design problem.
22 citations
Journal Article•
TL;DR: Experiment design for open-loop identification Optimal input design for system identification was an active area of research in the 1970’s, with different quality measures of the identified model being used for this optimal design.
Abstract: Experiment design for open-loop identification Optimal input design for system identification was an active area of research in the 1970’s, with different quality measures of the identified model being used for this optimal design [25, 33, 13]. The questions at that time addressed open-loop identification and the objective functions that were minimized were various measures of the parameter covariance matrix Pθ, where θ is the parameter vector of the model structure. Let the “true system” be given by:
6 citations
TL;DR: In this article, an analysis of the variance of the parameters of a multi-input plant estimated in closed-loop operation is performed, and the effect of the simultaneous excitation of an additional input on the estimated parameters is investigated.
5 citations
TL;DR: In this article, it was shown that simultaneous excitation of both reference signals does not improve the accuracy of the estimated controller parameters compared to the case with a single reference, and that one must choose between low experimental cost (simultaneous excitation) and better accuracy of estimated parameters (single reference).
3 citations
TL;DR: This paper elaborate on Loop Transfer Recovery (LTR) LQG synthesis techniques designed to achieve robustness of the feedback loop and proposes an IFT procedure that achieves approximate LTR and its associated robustness.
2 citations