A Discrete-Time Stochastic Iterative Learning Control Algorithm for a Class of Nonlinear Systems

S.S. Saab


  1. [1] S. Arimoto, H.Y. Han, P.T.A. Nguyen, & S. Kawamura,Iterative learning control from the viewpoint of passivity,International Journal of Robust and Nonlinear Control, 10(8),2000, 597–609. doi:10.1002/1099-1239(20000715)10:8<597::AID-RNC500>3.0.CO;2-V
  2. [2] S. Arimoto, Learning control theory for robotic motion, International Journal of Adaptive Control and Signal Processing,4, 1990, 544–564. doi:10.1002/acs.4480040610
  3. [3] A. De Luca & S. Panzieri, End-effector regulation of robotswith elastic elements by an iterative scheme, InternationalJournal of Adaptive Control and Signal Processing, 10(4–5),1996, 379–393. doi:10.1002/(SICI)1099-1115(199607)10:4/5<379::AID-ACS369>3.0.CO;2-O
  4. [4] P. Lucibello, On the role of high-gain feedback in P-typelearning control of robot arms, IEEE Trans. on Systems, Man,and Cybernatics, 12(4), 1996, 602–605. doi:10.1109/70.508443
  5. [5] P. Bondi, G. Casalino, & L. Gambardella, On the iterativelearning control schemes for robot manipulators, IEEE Journalof Robotics and Automation, 4, 1988, 14–22. doi:10.1109/56.767
  6. [6] Y.-H. Kim & I.-J. Ha, A learning approach to precision speedcontrol of servomotors and its application to a VCR, IEEETrans. on Control Systems and Technology, 7(4), 1999, 466–477. doi:10.1109/87.772162
  7. [7] M. Pandit & K.-H. Buchheit, Optimizing iterative learningcontrol of cyclic production process with application to extruders, IEEE Trans. on Control Systems and Technology, 7(3),1999, 382–390. doi:10.1109/87.761058
  8. [8] S.S. Garimella & K. Srinivasan, Application of iterative learningcontrol to coil-to-coil control in rolling, IEEE Trans. on ControlSystems and Technology, 6(2), 1998, 281–293. doi:10.1109/87.664194
  9. [9] N. Amann, D. Owens, E. Rogers, & A. Wahl, An H∞ approachto linear iterative learning control design, International Journalof Adaptive Control and Signal Processing, 10(6), 1996, 767–781. doi:10.1002/(SICI)1099-1115(199611)10:6<767::AID-ACS420>3.0.CO;2-L
  10. [10] M. Togai & O. Yamano, Analysis design of an optimal learning control scheme for industrial robots: A discrete system approach, Proc. 24th Conf. on Decision and Control, Ft. Lauderdale, FL, December 1985, 1399–1404.
  11. [11] F. Furuta & M. Yamkita, The design of a learning controlsystem for multivariables systems, Proc. IEEE Int. Symp. onIntelligent Control, Philadelphia, PA, January 1987, 371–376.
  12. [12] K.L. Moore, M. Dahleh, & S.P. Bhattacharyya, Adaptive gainadjustment for a learning control method for robotics, Proc.1990 IEEE Int. Conf. on Robotics and Automation, Cincinnati,OH, May 1990, 2095–2099. doi:10.1109/ROBOT.1990.126314
  13. [13] R. Longman & S.L. Wirkander, Automated tuning conceptsfor iterative learning and repetitive control laws, Proc. 37thConf. on Decision and Control, December 1998, 192–198. doi:10.1109/CDC.1998.760667
  14. [14] S.S. Saab, A discrete-time stochastic learning control algorithm,IEEE Trans. on Automatic Control, 46(6), 2001, 877–887. doi:10.1109/9.928588
  15. [15] S.S. Saab, On a discrete-time stochastic learning control algorithm, IEEE Trans. on Automatic Control, 46(8), 2001, 1333–1336. doi:10.1109/9.940946
  16. [16] H.-F. Chen, Iterative learning control for stochastic systems,Proc. 2002 IEEE Int. Conf. on Control and Automation,Xiamen, China, June 2002, 1632–1656.
  17. [17] S.S. Saab, Robustness and convergence rate of a discrete-timelearning control algorithm for a class of nonlinear systems,International Journal of Robust and Nonlinear Control, 9(9),1999, 559–571. doi:10.1002/(SICI)1099-1239(19990730)9:9<559::AID-RNC421>3.0.CO;2-J
  18. [18] S.S. Saab, A discrete-time learning control algorithm for a class of linear time-invariant systems, IEEE Trans. on Automatic Control, 40(6), 1995, 1138-1142. doi:10.1109/9.388702

Important Links:

Go Back