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Data-Driven Model-Reference Control With Closed-Loop Stability: The Output-Feedback Case

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Abstract

We generalize a recently introduced data-driven approach for model-reference control design with closed-loop stability guarantees to the case of single-input single-output system s with inaccessible state. By considering a dynamic controller with fixed structure and leveraging a data-based description of the closed-loop dynamics, we propose a two-stage strategy for the optimization of the controller's parameters to match the desired closed-loop behavior. By means of a benchmark simulation example, we show the potential of the proposed approach and the impact of a simple strategy to handle noisy measurements.

Original languageEnglish
Article number10149088
Pages (from-to)2431-2436
Number of pages6
JournalIEEE Control Systems Letters
Volume7
DOIs
Publication statusPublished - 2023

Funding

This work was supported in part by the Italian Ministry of University and Research through the PRIN 17 Project Data-Driven Learning of Constrained Control Systems, under Contract 2017J89ARP.

FundersFunder number
Ministero dell’Istruzione, dell’Università e della Ricerca2017J89ARP

    Keywords

    • closed-loop stability
    • Data-driven control
    • output-feedback control

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