Recurrent Neural Network-based Internal Model Control design for stable nonlinear systems von Bonassi, Fabio, Scattolini, Riccardo

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On the stability properties of Gated Recurrent Units neural networks von Bonassi, Fabio, Farina, Marcello, Scattolini, Riccardo

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Learning model predictive control with long short‐term memory networks von Terzi, Enrico, Bonassi, Fabio, Farina, Marcello, Scattolini, Riccardo

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On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments von Bonassi, Fabio, Farina, Marcello, Xie, Jing, Scattolini, Riccardo

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Reconciling Deep Learning and Control Theory: Recurrent Neural Networks for Indirect Data-Driven Control von Bonassi, Fabio

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Learning Control Affine Neural NARX Models for Internal Model Control Design von Xie, Jing, Bonassi, Fabio, Scattolini, Riccardo

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Nonlinear MPC design for incrementally ISS systems with application to GRU networks von Bonassi, Fabio, La Bella, Alessio, Farina, Marcello, Scattolini, Riccardo

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Robust offset‐free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models von Xie, Jing, Bonassi, Fabio, Farina, Marcello, Scattolini, Riccardo

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Supervised control of hybrid AC-DC grids for power balance restoration von Bonassi, Fabio, La Bella, Alessio, Lazzari, Riccardo, Sandroni, Carlo, Scattolini, Riccardo

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On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches von Mattsson, Per, Bonassi, Fabio, Breschi, Valentina, Schon, Thomas B.

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Stability of discrete-time feed-forward neural networks in NARX configuration von Bonassi, Fabio, Farina, Marcello, Scattolini, Riccardo

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Recurrent Neural Network-based Internal Model Control design for stable nonlinear systems von Bonassi, Fabio, Scattolini, Riccardo

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Structured state-space models are deep Wiener models von Bonassi, Fabio, Andersson, Carl, Mattsson, Per, Schön, Thomas B.

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Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks von Bonassi, Fabio, da Silva, Caio Fabio Oliveira, Scattolini, Riccardo

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Internal Model Control design for systems learned by Control Affine Neural Nonlinear Autoregressive Exogenous Models von Xie, Jing, Bonassi, Fabio, Scattolini, Riccardo

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Learning Control Affine Neural NARX Models for Internal Model Control Design von Xie, Jing, Bonassi, Fabio, Scattolini, Riccardo

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Accounts of using the Tustin-Net architecture on a rotary inverted pendulum von van Esch, Stijn, Bonassi, Fabio, Schön, Thomas B

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Structured state-space models are deep Wiener modelsStructured state-space models are deep Wiener models von Bonassi, Fabio, Andersson, Carl, Mattsson, Per, Schön, Thomas B.

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On the equivalence of direct and indirect data-driven predictive control approaches von Mattsson, Per, Bonassi, Fabio, Breschi, Valentina, Schön, Thomas B

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Safeguarded optimal policy learning for a smart discrete manufacturing plant von Boffadossi, Roberto, Bonassi, Fabio, Fagiano, Lorenzo, Scattolini, Riccardo, Cataldo, Andrea

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