Johan Löfberg

Associate Professor, Docent

Background:

After graduating in 2003 on Minimax Approaches to Robust Model Predictive Control, and spending three years as a post-doc at the Automatic Control laboratory at ETH, Zurich, I am back in Linköping. In 2011, I was appointed Docent and in 2012 Associate professor (universitetslektor).

Research

My research interest lies in the border between control theory and optimization. I was earlier heavily focused on model predictive control, but now prefer a slightly broader perspective on the border between optimization and control. A common factor in most of my work is the development of control-oriented optimization-based algorithms, leading to the constant evolution of a MATLAB based modelling language, called YALMIP.

Google scholar listed by citations.

Publications

Abhishek Dhar, Carl Hynén, Johan Löfberg, Daniel Axehill, Disturbance-Parametrized Robust Lattice-based Motion Planning, IEEE Transactions on Intelligent Vehicles 9:3034-3046 (2024) https://doi.org/10.1109/tiv.2023.3296691

Filipe Marques Barbosa, Anton Kullberg, Johan Löfberg, Fast or Cheap: Time and Energy Optimal Control of Ship-to-Shore Cranes, Special issue: 22nd IFAC World Congress, Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita (eds.), IFAC PAPERSONLINE, pp. 3126-3131, ELSEVIER (2023) https://doi.org/10.1016/j.ifacol.2023.10.1445

Filipe Marques Barbosa, Johan Löfberg, Time-optimal control of cranes subject to container height constraints, Proceedings of 2022 American Control Conference (ACC), Proceedings of the American Control Conference, pp. 3558-3563, Institute of Electrical and Electronics Engineers (IEEE) (2022) https://doi.org/10.23919/ACC53348.2022.9867816

Robin Forsling, Anders Hansson, Fredrik Gustafsson, Zoran Sjanic, Johan Löfberg, Gustaf Hendeby, Conservative Linear Unbiased Estimation Under Partially Known Covariances, IEEE Transactions on Signal Processing 70:3123-3135 (2022) https://doi.org/10.1109/tsp.2022.3179841

Erik Hedberg, Johan Löfberg, Anders Helmersson, A pedagogical path from the internal model principle to Youla-Kucera parametrization, IFAC PAPERSONLINE, pp. 17374-17379, ELSEVIER (2020) https://doi.org/10.1016/j.ifacol.2020.12.2090