Mikael Norrlöf

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Svante GunnarssonLinköping UniversityVerified email at isy.liu.se
Patrik AxelssonLinköping University, SwedenVerified email at isy.liu.se
Stig MobergSenior Principal Engineer, PhD, ABB RoboticsVerified email at se.abb.com
Rickard KarlssonAutomatic Control, Linköping University, Linköping, SwedenVerified email at isy.liu.se
Anders HanssonProfessor in Automatic Control, Linkoping UniversityVerified email at liu.se
André Carvalho BittencourtPhD, Linköpings UniversityVerified email at isy.liu.se
Håkan HjalmarssonCentre for Advanced Bioproduction, Linnaeus Centre ACCESS, School of EE and CSVerified email at kth.se
Fredrik GustafssonProf, Linköping University, SwedenVerified email at liu.se
Geir HovlandProfessor Robotics, University of AgderVerified email at uia.no
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
Jonathan StyrudABB, KTHVerified email at se.abb.com
Mårten BjörkmanKTH Royal Institute of TechnologyVerified email at kth.se
Matteo IovinoABB Corporate ResearchVerified email at se.abb.com
Christian SmithAssociate Professor, Division of Robotics, Perception, and Learning, KTHVerified email at kth.se
Sachit ButailNorthern Illinois UniversityVerified email at niu.edu
Michal OrkiszABBVerified email at pl.abb.com
Anders RobertssonProfessor, Automatic ControlVerified email at control.lth.se
Martin EnqvistAssociate Professor in Automatic Control, Linköping UniversityVerified email at isy.liu.se
Umut OrgunerMiddle East Technical University, Dept. of Electrical and Electronics Engineering, Ankara, TurkeyVerified email at metu.edu.tr
Marcelo Azevedo CostaFull Professor, Department of Industrial EngineeringVerified email at ufmg.br

Mikael Norrlöf

Corporate Executive Engineer, ABB Robotics, Västerås, Sweden

Verified email at se.abb.com

Iterative Learning Control robot modeling and control path planning robot trajectory generation


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Time and frequency domain convergence properties in iterative learning control M Norrlöf, S Gunnarsson International Journal of Control 75 (14), 1114-1126, 2002	361	2002
On the design of ILC algorithms using optimization S Gunnarsson, M Norrlöf Automatica 37 (12), 2011-2016, 2001	352	2001
An adaptive iterative learning control algorithm with experiments on an industrial robot M Norrlof IEEE Transactions on robotics and automation 18 (2), 245-251, 2002	340	2002
Iterative learning control: Analysis, design, and experiments M Norrlöf Linköping University, 2000	179	2000
Pathcorrection for an industrial robot S Gunnarsson, M Norrlof, G Hovland, U Carlsson, T Brogardh, ... US Patent 7,130,718, 2006	156	2006
Closed-loop identification of an industrial robot containing flexibilities M Östring, S Gunnarsson, M Norrlöf Control engineering practice 11 (3), 291-300, 2003	156	2003
Experimental comparison of some classical iterative learning control algorithms M Norrlof, S Gunnarsson IEEE Transactions on Robotics and Automation 18 (4), 636-641, 2002	132	2002
Disturbance aspects of iterative learning control M Norrlöf, S Gunnarsson Engineering Applications of Artificial Intelligence 14 (1), 87-94, 2001	93	2001
On the disturbance properties of high order iterative learning control algorithms S Gunnarsson, M Norrlöf Automatica 42 (11), 2031-2034, 2006	92	2006
Failure detection in robotic arms using statistical modeling, machine learning and hybrid gradient boosting MA Costa, B Wullt, M Norrlöf, S Gunnarsson Measurement 146, 425-436, 2019	62	2019
Combining planning and learning of behavior trees for robotic assembly J Styrud, M Iovino, M Norrlöf, M Björkman, C Smith 2022 International Conference on Robotics and Automation (ICRA), 11511-11517, 2022	54	2022
Disturbance rejection using an ILC algorithm with iteration varying filters M Norrlöf Asian Journal of Control 6 (3), 432-438, 2004	54	2004
Data-driven gearbox failure detection in industrial robots S Vallachira, M Orkisz, M Norrlöf, S Butail IEEE Transactions on Industrial Informatics 16 (1), 193-201, 2019	51	2019
Convex optimization approach for time-optimal path tracking of robots with speed dependent constraints T Ardeshiri, M Norrlöf, J Löfberg, A Hansson IFAC Proceedings Volumes 44 (1), 14648-14653, 2011	50	2011
Bayesian state estimation of a flexible industrial robot P Axelsson, R Karlsson, M Norrlöf Control Engineering Practice 20 (11), 1220-1228, 2012	49	2012
Iterative learning control of nonlinear non-minimum phase systems and its application to system and model inversion O Markusson, H Hjalmarsson, M Norrlof Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No …, 2001	47	2001
A data-driven approach to diagnostics of repetitive processes in the distribution domain–applications to gearbox diagnostics in industrial robots and rotating machines AC Bittencourt, K Saarinen, S Sander-Tavallaey, S Gunnarsson, M Norrlöf Mechatronics 24 (8), 1032-1041, 2014	42	2014
A frequency domain analysis of a second order iterative learning control algorithm M Norrlof, S Gunnarsson Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No …, 1999	40	1999
A note on causal and CITE iterative learning control algorithms M Norrlöf, S Gunnarsson Automatica 41 (2), 345-350, 2005	39	2005
A framework for analysis of observer‐based ILC J Wallén, M Norrlöf, S Gunnarsson Asian Journal of Control 13 (1), 3-14, 2011	38	2011

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