Experimentally supported 2D systems based iterative learning control law design for error convergence and performance

Control Engineering Practice

Volumn 18, Issue 4, 2010, Pages 339-348

  Hladowski, Lukasz ^a   Galkowski, Krzysztof ^a   Cai, Zhonglun ^b   Rogers, Eric ^b   Freeman, Chris T ^b   Lewin, Paul L ^b  

^a UNIVERSITY OF ZIELONA GÓRA   (Poland)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Iterative learning control; LMIs; Robustness

Indexed keywords

2-D SYSTEMS; CONTROL LAWS; ERROR CONVERGENCE; EXPERIMENTAL APPLICATION; GANTRY ROBOTS; ITERATIVE LEARNING CONTROL; ITERATIVE LEARNING CONTROL LAWS; LINEAR REPETITIVE PROCESS; PICK AND PLACE;

FUZZY CONTROL; LEARNING ALGORITHMS; LINEAR MATRIX INEQUALITIES; ROBUST CONTROL; TWO TERM CONTROL SYSTEMS;

ROBUSTNESS (CONTROL SYSTEMS);

EID: 77649185152     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2009.12.003     Document Type: Article

References (16)

1. Ahn H.-S., Chen Y., and Moore K.L. Iterative learning control: Brief survey and categorization. IEEE Transactions on Systems, Man and Cybernetics, Part C 37 6 (2007) 1109-1121
2. Ahn H.-S., Moore K.L., and Chen Y. Iterative learning control-robustness and monotonic convergence for interval systems (2007), Springer, Berlin
3. Arimoto S., Kawamura S., and Miyazaki F. Bettering operations of robots by learning. Journal of Robotic Systems 1 2 (1984) 123-140
4. Bristow D.A., Tharayil M., and Alleyne A.G. A survey of iterative learning control. IEEE Control Systems Magazine 26 3 (2006) 96-114
5. ∞ control and filtering of two-dimensional systems. In Lecture notes in control and information sciences (Vol. 278). Berlin: Springer.
6. Fine, B., Mishra, S., & Tomizuka, M. (2009). Model inverse based iterative learning control using finite impulse response approximations. In Proceedings of the 2009 American control conference, St. Louis, MO, USA (pp. 931-936).
7. Fornasini E., and Marchesini G. Doubly-indexed dynamical systems: State space models and structural properties. Mathematical Systems Theory 12 (1978) 59-72
8. Inaba, K., Wanf, C. -C., Tomizuka, M., & Packard, A. (2009). Design of iterative learning controller based on frequency domain linear matrix inequality. In Proceedings of the 2009 American control conference, St. Louis, MO, USA (pp. 246-251).
9. Kurek J.E., and Zaremba M.B. Iterative learning control synthesis based on 2-D system theory. IEEE Transactions on Automatic Control 38 1 (1993) 121-125
10. Longman R.W. Iterative learning control and repetitive control for engineering practice. International Journal of Control 73 (2000) 930-954
11. Ratcliffe J.D., Lewin P.L., Rogers E., Hatonen J.J., and Owens D.H. Norm-optimal iterative learning control applied to gantry robots for automation applications. IEEE Transactions on Robotics 22 6 (2006) 1303-1307
12. Roesser R.P. A discrete state space model for linear image processing. IEEE Transactions on Automatic Control 20 (1975) 1-10
13. Rogers, E., Galkowski, K., & Owens, D. H. (2007). Control systems theory and applications for linear repetitive processes. In Lecture notes in control and information sciences (Vol. 349). Berlin: Springer.
14. Shi J., Gao F., and Wu T.-J. Robust design of integrated feedback and iterative learning control of a batch process based on a 2D Roesser system. Journal of Process Control 15 8 (2005) 907-924
15. Siljak D.D., and Stipanovic D.M. Robust stabilisation of nonlinear systems: The LMI approach. Mathematical Problems in Engineering 6 (2000) 461-493
16. van de Wijdeven J., and Bosgra O. Residual vibration suppression using Hankel iterative learning control. International Journal of Robust and Nonlinear Control 18 10 (2008) 1034-1051