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Daniel Axehill

Daniel Axehill works as an associate professor (biträdande professor) at the Division of Automatic Control at the Department of Electrical Engineering at Linköping University. He started his graduate studies in February 2003 after completing his M.Sc. degree in Applied Physics and Electrical Engineering (Y) at Linköping University. Daniel received his Lic.Eng. degree in December 2005. The Licentiate's thesis can be found here. Daniel received his PhD degree in February 2008. The thesis is available from here. Daniel held a post-doc position at the Automatic Control Laboratory at ETH Zurich from January 2009 until November 2010. He became a Docent in September 2015.

Research

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.

Contact Info

E-mail:
Phone: +46(0)13-28 40 42
+46(0)708-78 36 70 (cell)
Fax:+46 (0)13 28 26 22
Office:B-house, A-corridor, room 2A:570, i.e. between entrance B23 and B25
Address: Automatic Control
Dep. of Electrical Engineering
Linköpings universitet
SE-581 83 Linköping, Sweden
Daniel Axehill

Associate Professor in Automatic Control

Phone:
+46 13 28 40 42
Mobile (private):
+46 708 78 36 70
E-mail:
daniel.axehill@liu.se
Address:
Dept. of Electrical Engineering
Linköping University
SE-581 83 Linköping
Sweden
Visiting Address:
Campus Valla
Building B
Room 2A:570 (in the A corridor on the ground floor between entrance 23 and 25)


Page responsible: Daniel Axehill
Last updated: 2018-04-10