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Daniel's research areas are Model Predictive Control (MPC), optimization, and motion planning. Currently the MPC research is focused on problems related to real-time MPC. Ongoing research relates to efficient linear algebra for on-line algorithms, parametric programming, parallel computations, as well as real-time constrained optimization. The research about motion planning includes theoretical aspects, algorithms, and applications. Current industry research partners are Scania CV and Saab Dynamics. Daniel's research is financed by the Swedish Research Council, FFI and WASP/KAW.

Daniel has been the main supervisor of the following now graduated Ph.D. students: Dr. Isak Nielsen and Lic. Niclas Evestedt.

Daniel is currently the main supervisor of the following Ph.D. students: Lic. Oskar Ljungqvist, Kristoffer Bergman, Daniel Arnström, and Jonas Nordlöf. He is also currently the co-supervisor of Per Boström-Rost, Magnus Malmström, and Shervin Parvini Ahmadi.

Oskar Ljungqvist defended his Licentiate's thesis in January 2019. Kristoffer Bergman and Per Boström-Rost will defend their respective Licentiate's theses in June 2019.

An example of Daniel's and Oskar Ljungqvist's research in collaboration with Scania can be found in the video:

Daniel Axehill

Associate Professor in Automatic Control

+46 13 28 40 42
Mobile (private):
+46 708 78 36 70
Dept. of Electrical Engineering
Linköping University
SE-581 83 Linköping
Visiting Address:
Campus Valla
Building B
Room 2A:479 (in the A corridor on the ground floor between entrance 27 and 29)

Page responsible: Daniel Axehill
Last updated: 2019-05-11