Marco Forgione

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 22

Top Topics

Dynamical Systems

Empirical Evaluation

Top Venues

IEEE Control. Syst. Lett.

Publications

Marco Forgione, Manas Mejari, Dario Piga
Model order reduction of deep structured state-space models: A system-theoretic approach. CoRR (2024)
Dario Piga, Matteo Rufolo, Gabriele Maroni, Manas Mejari, Marco Forgione
Synthetic data generation for system identification: leveraging knowledge transfer from similar systems. CoRR (2024)
Dario Piga, Filippo Pura, Marco Forgione
On the adaptation of in-context learners for system identification. CoRR (2023)
Marco Forgione, Dario Piga
Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification. CoRR (2023)
Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
In-context learning of state estimators. CoRR (2023)
Marco Forgione, Filippo Pura, Dario Piga
From System Models to Class Models: An In-Context Learning Paradigm. IEEE Control. Syst. Lett. 7 (2023)
Marco Forgione, Filippo Pura, Dario Piga
In-context learning for model-free system identification. CoRR (2023)
Marco Forgione, Aneri Muni, Dario Piga, Marco Gallieri
On the adaptation of recurrent neural networks for system identification. Autom. 155 (2023)
Marco Forgione, Manas Mejari, Dario Piga
Learning neural state-space models: do we need a state estimator? CoRR (2022)
Dario Piga, Manas Mejari, Marco Forgione
Learning Dynamical Systems From Quantized Observations: A Bayesian Perspective. IEEE Trans. Autom. Control. 67 (10) (2022)
Xavier Bombois, Marco Forgione
Control Design via Bayesian Optimization with Safety Constraints. CCTA (2022)
Marco Forgione, Aneri Muni, Dario Piga, Marco Gallieri
On the adaptation of recurrent neural networks for system identification. CoRR (2022)
Manas Mejari, Bojan Mavkov, Marco Forgione, Dario Piga
Direct identification of continuous-time LPV state-space models via an integral architecture. Autom. 142 (2022)
Dario Piga, Marco Forgione, Manas Mejari
Deep learning with transfer functions: new applications in system identification. CoRR (2021)
Marco Forgione, Dario Piga
Continuous-time system identification with neural networks: Model structures and fitting criteria. Eur. J. Control 59 (2021)
Loris Roveda, Marco Forgione, Dario Piga
One-Stage Auto-Tuning Procedure of Robot Dynamics and Control Parameters for Trajectory Tracking Applications. UR (2020)
Marco Forgione, Dario Piga
Continuous-time system identification with neural networks: model structures and fitting criteria. CoRR (2020)
Marco Forgione, Dario Piga
dynoNet: a neural network architecture for learning dynamical systems. CoRR (2020)
Bojan Mavkov, Marco Forgione, Dario Piga
Integrated Neural Networks for Nonlinear Continuous-Time System Identification. IEEE Control. Syst. Lett. 4 (4) (2020)
Marco Forgione, Dario Piga
Model structures and fitting criteria for system identification with neural networks. CoRR (2019)
Dario Piga, Marco Forgione, Simone Formentin, Alberto Bemporad
Performance-Oriented Model Learning for Data-Driven MPC Design. IEEE Control. Syst. Lett. 3 (3) (2019)
Marco Forgione, Dario Piga, Alberto Bemporad
Efficient Calibration of Embedded MPC. CoRR (2019)
Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof
Data-driven model improvement for model-based control. Autom. 52 (2015)
Max G. Potters, Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof
Least-costly experiment design for uni-parametric linear models: An analytical approach. ECC (2015)
Ali Mesbah, Xavier Bombois, Marco Forgione, Håkan Hjalmarsson, Paul M. J. Van den Hof
Least costly closed-loop performance diagnosis and plant re-identification. Int. J. Control 88 (11) (2015)
Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof, Håkan Hjalmarsson
Experiment design for parameter estimation in nonlinear systems based on multilevel excitation. ECC (2014)
Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof
Experiment design for batch-to-batch model-based learning control. ACC (2013)
Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof
Iterative Learning Control of supersaturation in batch cooling crystallization. ACC (2012)
Ali Mesbah, Xavier Bombois, Marco Forgione, Jobert H. A. Ludlage, Per Erik Modén, Håkan Hjalmarsson, Paul M. J. Van den Hof
A unified experiment design framework for detection and identification in closed-loop performance diagnosis. CDC (2012)
Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof
Batch-to-batch strategies for cooling crystallization. CDC (2012)