Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation. - Andrea Ghezzi; Jasper Hoffmann; Jonathan Frey; Joschka Boedecker; Moritz Diehl (CDC, 2023)

An Efficient Method for the Joint Estimation of System Parameters and Noise Covariances for Linear Time-Variant Systems. - Léo Simpson; Andrea Ghezzi; Jonas Asprion; Moritz Diehl (CDC, 2023)

A Voronoi-Based Mixed-Integer Gauss-Newton Algorithm for MINLP Arising in Optimal Control. - Andrea Ghezzi; Léo Simpson; Adrian Bürger; Clemens Zeile; Sebastian Sager; Moritz Diehl (ECC, 2023)

An implicit and explicit dual model predictive control formulation for a steel recycling process. - Andrea Ghezzi; Florian Messerer; Jacopo Balocco; Vincenzo Manzoni; Moritz Diehl (Eur. J. Control, 2023)

AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control. - Rudolf Reiter; Andrea Ghezzi; Katrin Baumgärtner; Jasper Hoffmann; Robert D. McAllister; Moritz Diehl (CoRR, 2024)

Real-Time NMPC With Convex-Concave Constraints and Application to Eco-Driving. - Shiying Dong; Andrea Ghezzi; Jakob Harzer; Jonathan Frey; Bingzhao Gao; Hong Chen 003; Moritz Diehl (IEEE Trans. Control. Syst. Technol., 2025)

A Comparative Study of MINLP and MPVC Formulations for Solving Complex Nonlinear Decision-Making Problems in Aerospace Applications. - Andrea Ghezzi; Armin Nurkanovic; Avishai Weiss; Moritz Diehl; Stefano Di Cairano (CoRR, 2025)