Identification for Control: From the Early Achievements to the Revival of Experiment Design

By M. Gevers. Proceedings of the 44th IEEE Conference on Decision and Control, 2005

391 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Bridging Direct and Indirect Data-Driven Control Formulations via Regularizations and Relaxations (2021, background): “In short, control and identification regularize each other, in the spirit of identification for control [7], [8].”
Optimal instrumental variable method for closed-loop identification (2011, background): “Renewed attention has been given lately to the problem of closed-loop identification initiated by an emerging interest in identification for model-based control ([3], [10], [7]) and/or experiment design in the closed-loop framework ([15],[8]).”
Nonlinear System Identification: A User-Oriented Road Map (2019, background): “These initiated a search of application oriented input design [12], [65]–[68], resulting in a design that pushes the uncertainty in a direction where it does not hurt the quality of the application: the uncertainty ellipsoid of the model is matched to the contour plots of the application cost.”
Refined Instrumental Variable methods for closed-loop system identification (2009, background): “Söderström and Stoica [1989], Van den Hof [1998], Forssell and Chou [1998], Forssell and Ljung [1999], Zheng [2003], Gevers [2005]) or for continuous-time TF model identification (see e.”