Photo of Johan Löfberg

Johan Löfberg

Associate Professor, Docent

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.

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

2023

Abhishek Dhar, Carl Hynén, Johan Löfberg, Daniel Axehill (2023) Disturbance-Parametrized Robust Lattice-based Motion Planning IEEE Transactions on Intelligent Vehicles Continue to DOI
Filipe Marques Barbosa, Anton Kullberg, Johan Löfberg (2023) Fast or Cheap: Time and Energy Optimal Control of Ship-to-Shore Cranes Special issue: 22nd IFAC World Congress, p. 3126-3131 Continue to DOI

2022

Filipe Marques Barbosa, Johan Löfberg (2022) Time-optimal control of cranes subject to container height constraints Proceedings of 2022 American Control Conference (ACC), p. 3558-3563 Continue to DOI
Robin Forsling, Anders Hansson, Fredrik Gustafsson, Zoran Sjanic, Johan Löfberg, Gustaf Hendeby (2022) Conservative Linear Unbiased Estimation Under Partially Known Covariances IEEE Transactions on Signal Processing, Vol. 70, p. 3123-3135 Continue to DOI

2020

Erik Hedberg, Johan Löfberg, Anders Helmersson (2020) A pedagogical path from the internal model principle to Youla-Kucera parametrization IFAC PAPERSONLINE, p. 17374-17379 Continue to DOI

Staff Automatic Control

About the division

About the department