Mikael Norrlöf
Mikael Norrlöf
Senior Principal Engineer, ABB Robotics, Västerås, Sweden
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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
Time and frequency domain convergence properties in iterative learning control
M Norrlöf, S Gunnarsson
International Journal of Control 75 (14), 1114-1126, 2002
On the design of ILC algorithms using optimization
S Gunnarsson, M Norrlöf
Automatica 37 (12), 2011-2016, 2001
Iterative learning control: Analysis, design, and experiments
M Norrlöf
Linköping University, 2000
Closed-loop identification of an industrial robot containing flexibilities
M Östring, S Gunnarsson, M Norrlöf
Control engineering practice 11 (3), 291-300, 2003
Pathcorrection for an industrial robot
S Gunnarsson, M Norrlof, G Hovland, U Carlsson, T Brogardh, ...
US Patent 7,130,718, 2006
Experimental comparison of some classical iterative learning control algorithms
M Norrlof, S Gunnarsson
IEEE Transactions on Robotics and Automation 18 (4), 636-641, 2002
Disturbance aspects of iterative learning control
M Norrlöf, S Gunnarsson
Engineering Applications of Artificial Intelligence 14 (1), 87-94, 2001
On the disturbance properties of high order iterative learning control algorithms
S Gunnarsson, M Norrlöf
Automatica 42 (11), 2031-2034, 2006
Disturbance rejection using an ILC algorithm with iteration varying filters
M Norrlöf
Asian Journal of Control 6 (3), 432-438, 2004
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
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
Bayesian state estimation of a flexible industrial robot
P Axelsson, R Karlsson, M Norrlöf
Control Engineering Practice 20 (11), 1220-1228, 2012
A note on causal and CITE iterative learning control algorithms
M Norrlöf, S Gunnarsson
Automatica 41 (2), 345-350, 2005
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
Experimental comparison of observers for tool position estimation of industrial robots
R Henriksson, M Norrlöf, S Moberg, E Wernholt, TB Schön
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009
Comparative study on first and second order ILC-frequency domain analysis and experiments
M Norrlof
Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No …, 2000
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
A framework for analysis of observer‐based ILC
J Wallén, M Norrlöf, S Gunnarsson
Asian Journal of Control 13 (1), 3-14, 2011
Arm-side evaluation of ILC applied to a six-degrees-of-freedom industrial robot
J Wallén, M Norrlöf, S Gunnarsson
IFAC Proceedings Volumes 41 (2), 13450-13455, 2008
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