A computationally efficient algorithm of iterative learning control for discrete-time linear time-varying systems

Automatica

Volumn 45, Issue 12, 2009, Pages 2925-2929

  Hakvoort, W B J ^a   Aarts, R G K M ^b   van Dijk, J ^b   Jonker, J B ^b  

^a MATERIALS INNOVATION INSTITUTE M2I   (Netherlands)

^b UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Discrete time systems; Industrial robots; Iterative learning control; Time varying systems; Tracking

Indexed keywords

COMPUTATION TIME; COMPUTATIONALLY EFFICIENT; DISCRETE TIME SYSTEM; DISCRETE-TIME; DISCRETE-TIME SYSTEMS; EFFICIENT ALGORITHM; FEED-FORWARD; ITERATIVE LEARNING CONTROL; LINEAR TIME-VARYING SYSTEMS; MATRIX; MATRIX EQUATIONS; MODEL-BASED; QUADRATIC NORMS; ROBOT DYNAMICS; SUBSTANTIAL REDUCTION; SYSTEM DYNAMICS; TRACKING ACCURACY; TRACKING ERRORS;

COMPUTATIONAL EFFICIENCY; CONTINUOUS TIME SYSTEMS; DIGITAL CONTROL SYSTEMS; EDUCATION; EQUATIONS OF MOTION; INDUSTRIAL ROBOTS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATRIX ALGEBRA; TIME VARYING SYSTEMS; TWO TERM CONTROL SYSTEMS;

DISCRETE TIME CONTROL SYSTEMS;

EID: 70449642359     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2009.09.023     Document Type: Article

References (11)

1. Amann N., Owens D., and Rogers E. Iterative learning control using optimal feedback and feedforward actions. International Journal of Control 65 2 (1996) 277-293
2. Arimoto S., Kawamura S., and Miyazaki F. Bettering operation of dynamic systems by learning: A new control theory for servomechanism or mechatronic systems. Journal of Robotic Systems 1 2 (1984) 123-140
3. Dijkstra, B. (2004). Iterative learning control with applications to a wafer-stage. Ph.D. thesis, Delft University of Technology, The Netherlands
4. Elci H., Longman R., Phan M., Juang J., and Ugoletti R. Simple learning control made practical by zero-phase filtering: Applications to robotics. IEEE Transactions on Circuits and Systems 49 6 (2002) 753-767
5. Gunnarsson S., Norrlöf M., Rahic E., and Özbek M. On the use of accelerometers in iterative learning control of a flexible robot arm. International Journal of Control 80 3 (2007) 363-373
6. Hakvoort W., Aarts R., van Dijk J., and Jonker J. Model-based iterative learning control applied to an industrial robot with elasticity. Proceedings of the 46th EEE conference on decision and control (2007), IEEE, New Orleans, LA, USA 4185-4190
7. Kawamura S., Miyazaki F., and Arimoto S. Realization of robot motion based on a learning method. EEE Transactions on Systems, Man and Cybernetics 18 1 (1988) 126-134
8. Lee K., Lee J., and Kim W. Model-based iterative learning control with a quadratic criterion for time-varying linear systems. Automatica 36 (2000) 641-657
9. Lewis F., and Syrmos V. Optimal control. 2nd ed. (1995), Wiley-Interscience
10. Norrlöf M., and Gunnarsson S. An adaptive iterative learning control algorithm with experiments on an industrial robot. IEEE Transactions on Robotics and Automation 18 2 (2002) 245-251
11. Yang D., Lee K., Ahn H., and Lee J. Experimental application of a quadratic optimal iterative learning control method for control of wafer temperature uniformity in rapid thermal processing. IEEE Transactions on Semiconductor Manufacturing 16 1 (2003) 36-44