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CORDIS - EU research results
CORDIS

Breaking frontiers of Internal Model Principle and Adaptive Control through hybrid Techniques for next-generation Mechatronics

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (opens in new window)

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Publications

Data-Driven Control of Continuous-Time LTI Systems via Non-Minimal Realizations (opens in new window)

Author(s): Alessandro Bosso, Marco Borghesi, Andrea Iannelli, Giuseppe Notarstefano, Andrew R. Teel
Published in: IEEE Transactions on Automatic Control, 2026, ISSN 1558-2523
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TAC.2026.3680845

Adaptive Hybrid Control for Robust Global Phase Synchronization of Kuramoto Oscillators (opens in new window)

Author(s): Alessandro Bosso; Ilario Antonio Azzollini; Simone Baldi; Luca Zaccarian
Published in: IEEE Transactions on Automatic Control, 2024, ISSN 1558-2523
Publisher: IEEE
DOI: 10.1109/TAC.2024.3403692

Derivative-free data-driven control of continuous-time linear time-invariant systems (opens in new window)

Author(s): Alessandro Bosso; Marco Borghesi; Andrea Iannelli; Giuseppe Notarstefano; Andrew R. Teel
Published in: European Journal of Control, 2025, ISSN 1435-5671
Publisher: Elsevier
DOI: 10.48550/ARXIV.2410.24167

On-Policy Data-Driven Linear Quadratic Optimal Control of SISO Systems via Model Reference Adaptive Reinforcement Learning (opens in new window)

Author(s): Alessandro Bosso, Marco Borghesi, Andrea Serrani, Giuseppe Notarstefano, Andrew R. Teel
Published in: 2025 IEEE 64th Conference on Decision and Control (CDC), 2026
Publisher: IEEE
DOI: 10.1109/CDC57313.2025.11312870

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