Roland Schwan

Roland Schwan

PhD Student

EPF Lausanne

I am excited about the opportunity for interdisciplinary research to advance and connect the fields of control, optimization and machine learning.

Roland Schwan is a PhD student in the Automatic Control Laboratory and Risk Analytics and Optimization Chair at EPFL under the supervision of Prof. Colin Jones and Prof. Daniel Kuhn. He received a M.Sc. in Control Systems from Imperial College London in 2020 and a B.Sc. in Electrical Engineering and Information Technology from ETH Zurich in 2019.

Scientific Publications

Published

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

2023 American Control Conference (ACC)

Pages 3735-3750

Truong Nghiem, Ján Drgoňa, Colin Jones, Zoltan Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel Paulson, Andrea Carron, Melanie Zeilinger, Wenceslao Shaw Cortez, Draguna Vrabie

2023

Collection

Published

PIQP: A Proximal Interior-Point Quadratic Programming Solver

62nd IEEE Conference on Decision and Control

Roland Schwan, Yuning Jiang, Daniel Kuhn, Colin Jones

2023

Collection

Published

Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype

2022 International Conference on Robotics and Automation (ICRA)

Pages 1996-2002

Raphael Linsen, Petr Listov, Alberic Lajarte, Roland Schwan, Colin Jones

2022

Doi.org Collection

Published

Stability Verification of Neural Network Controllers using Mixed-Integer Programming

IEEE Transactions on Automatic Control

Roland Schwan, Colin Jones, Daniel Kuhn

2022

Doi.org Collection Arxiv.org

Research projects as Researcher

Title

Principal Investigators

Learning Fast Convex Optimizers

Colin Jones, Daniel Kuhn, Silvia Mastellone

Summary

This project will study formal methods for reduced complexity design and verification of embedded optimization techniques for the control of high-speed nonlinear constrained systems. We will focus on machine learning techniques for differentiable parametric optimization and their application to the control of fast, nonlinear dynamic systems with a power conversion system taken as an important exemplar case study.

People involved