Closed-loop identification of MIMO systems in the prediction error framework: data informativity analysis

DOI10.1016/j.automatica.2020.109171zbMath1448.93154OpenAlexW3047660173MaRDI QIDQ2003812

Laurent Bako, Kévin Colin, Federico Morelli, Xavier Bombois

Publication date: 5 October 2020

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2020.109171

zbMATH Keywords

MIMO systemssystem identificationconsistencyclosed-loop identificationprediction error methods

Mathematics Subject Classification ID

Feedback control (93B52) System identification (93B30) Multivariable systems, multidimensional control systems (93C35)

Related Items (1)

On the informativity of direct identification experiments in dynamical networks

Cites Work

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• On covariance function tests used in system identification
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• Necessary and sufficient conditions for uniqueness of the minimum in Prediction Error Identification
• Closed-loop identification of multivariable systems: with or without excitation of all references?
• Closed-loop identification of MIMO systems: a new look at identifiability and experiment design
• Identification and the Information Matrix: How to Get Just Sufficiently Rich?

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