Necessary and sufficient conditions for uniqueness of the minimum in Prediction Error Identification

Optimal experiment design for open and closed-loop system identification

Connecting informative experiments, the information matrix and the minima of a prediction error identification criterion

Identification and the information matrix: How to get just sufficiently rich

Experiment design for robust control: why do more work than is needed

input design: from open-loop to control-oriented design

Least costly identification experiment for control

Quantification of frequency domain error bounds with guaranteed confidence level in prediction error identification

Open-loop versus closed-loop identification of Box-Jenkins models: a new variance analysis

Least costly identification experiement for control

Least costly identification experiment for control. A solution based on a high-order model approximation

Frequency domain uncertainty sets with guaranteed probability level in Prediction Error identification

Cheapest open-loop identification for control

Model validation for control and controller validation in a prediction error identification approach - Part II : illustrations

Model validation for control and controller validation in a prediction error identification approach - Part I : theory

A new robust control design procedure based on a PE identification uncertainty set

Controller validation for stability and performance based on an uncertainty region designed from an identified model.

Model validation for robust control and controller validation in a prediction error framework.

Asymptotic variance expressions for closed-loop identification.

Frequency domain image of a set of linearly parametrized transfer functions.