Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype. - Raphaël Linsen; Petr Listov; Albéric de Lajarte; Roland Schwan; Colin N. Jones (ICRA, 2022)

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. - Truong X. Nghiem; Ján Drgona; Colin N. Jones; Zoltán Nagy 002; Roland Schwan; Biswadip Dey; Ankush Chakrabarty; Stefano Di Cairano; Joel A. Paulson; Andrea Carron; Melanie N. Zeilinger; Wenceslao Shaw-Cortez; et al. (ACC, 2023)

PIQP: A Proximal Interior-Point Quadratic Programming Solver. - Roland Schwan; Yuning Jiang 002; Daniel Kuhn 001; Colin N. Jones (CDC, 2023)

Stability Verification of Neural Network Controllers Using Mixed-Integer Programming. - Roland Schwan; Colin N. Jones; Daniel Kuhn 001 (IEEE Trans. Autom. Control., 2023)

On identifying the non-linear dynamics of a hovercraft using an end-to-end deep learning approach. - Roland Schwan; Nicolaj Schmid; Etienne Chassaing; Karim Samaha; Colin N. Jones (CoRR, 2024)

Cooperative distributed model predictive control for embedded systems: Experiments with hovercraft formations. - Gösta Stomberg; Roland Schwan; Andrea Grillo; Colin N. Jones; Timm Faulwasser (CoRR, 2024)

On Continuation and Convex Lyapunov Functions. - Wouter Jongeneel; Roland Schwan (IEEE Trans. Autom. Control., 2024)

Exploiting Multistage Optimization Structure in Proximal Solvers. - Roland Schwan; Daniel Kuhn 001; Colin N. Jones (CoRR, 2025)