On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments. - Fabio Bonassi; Marcello Farina; Jing Xie 015; Riccardo Scattolini (CoRR, 2021)

An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. - Fabio Bonassi; Jing Xie 015; Marcello Farina; Riccardo Scattolini (CDC, 2022)

Towards lifelong learning of Recurrent Neural Networks for control design. - Fabio Bonassi; Jing Xie 015; Marcello Farina; Riccardo Scattolini (ECC, 2022)

Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models. - Jing Xie 015; Fabio Bonassi; Marcello Farina; Riccardo Scattolini (CoRR, 2022)

Incremental Model Predictive Control Exploiting Time-Delay Estimation for a Robot Manipulator. - Yongchao Wang; Marion Leibold; Jinoh Lee; Wenyan Ye; Jing Xie 015; Martin Buss (IEEE Trans. Control. Syst. Technol., 2022)

A Learning-based Model Predictive Control Scheme with Application to Temperature Control Units *. - Léo Simpson; Jing Xie 015; Jonas Asprion; Riccardo Scattolini (CCTA, 2024)

A Learning-based Model Predictive Control Scheme with Application to Temperature Control Units. - Jing Xie 015; Léo Simpson; Jonas Asprion; Riccardo Scattolini (CoRR, 2024)

Internal Model Control design for systems learned by Control Affine Neural Nonlinear Autoregressive Exogenous Models. - Jing Xie 015; Fabio Bonassi; Riccardo Scattolini (CoRR, 2024)

Learning Control Affine Neural NARX Models for Internal Model Control Design. - Jing Xie 015; Fabio Bonassi; Riccardo Scattolini (IEEE Trans Autom. Sci. Eng., 2025)