Multi-scale direct learning control of linear time-varying high-order systems

Automatica

Volumn 36, Issue 1, 2000, Pages 61-68

  Xu, Jian Xin ^a   Song, Yanbin ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; INTELLIGENT CONTROL; LEARNING SYSTEMS; LINEAR CONTROL SYSTEMS;

MULTISCALE DIRECT LEARNING CONTROL (DLC);

TIME VARYING CONTROL SYSTEMS;

EID: 0033900776     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(99)00101-6     Document Type: Article

References (19)

1. Arimoto S., Kawamura S., Miyazaki F. Bettering operation of robots by learning. Journal of robotic Systems. 1:1984;123-140.
2. Bondi P., Casalino G., Gambardella L. On the iterative learning control theory for robotic manipulators. IEEE Transactions on Robotics and Automation. 4:1988;14-22.
3. Craig, J. J. (1984). Adaptive control of manipulators through repeated trials. Proceedings of the 1984 American control conference (pp. 1566-1573).
4. Furuta, K., & Yamakita, M. (1987). The design of a learning control system for multi-variable systems. Proceedings of the IEEE international symposium of intelligent control (pp. 371-376).
5. Geng Z., Carroll R., Xie J. Two-dimensional model and algorithm analysis for a class of iterative learning control systems. International Journal of Control. 52:1990;833-862.
6. Heinzinger G., Fenwick D., Paden B., Miyazaki F. Stability of learning control with disturbances and uncertain Initial conditions. IEEE Transactions on Automatic control. 37(1):1992;110-114.
7. Horowitz R., Messner W., Kao W., Moore J.B. Exponential convergence of a learning controller for robot manipulators. IEEE Transactions on Automatic Control. 36:1991;890-894.
8. Hwang, D. H., Bien, Z., & Oh, S. R. (1991). Iterative learning control method for discrete time dynamic systems. IEE Proc., Part D, 138(2), 139-144.
9. Kawamura, S., & Fukao, N. (1995). A time-scale interpolation for input torque patterns obtained through learning control on constrained robot motions. Proceedings of 1995 IEEE international conference on robotics and automation (pp. 2156-2161).
10. Kuc T.Y., Lee J.S., Nam K. An iterative learning control theory for a class of nonlinear dynamic systems. Automatica. 28(6):1992;1215-1221.
11. Kurek J., Zaremba M. Iterative learning control synthesis based on 2-D system theory. IEEE Transactions on Automatic control. 38(1):1993;121-125.
12. Miller-III W.T., Glanz F.H., Kraft-III L.G. Application of a general learning algorithm to the control of robotic manipulators. International Journal of Robotics Research. 6:1987;84-98.
13. Omata T., Hara S., Nakano M. Nonlinear repetitive control with application to trajectory control of manipulators. Journal of Robotic Systems. 4:1987;631-652.
14. Saab S. On the P-type learning control. IEEE Transactions on Automatic Control. 39(11):1994;2298-2302.
15. Sugie T., Ono T. An iterative learning control law for dynamic systems. Automatica. 27(44):1991;729-732.
16. Togai, M., & Yamano, O. (1985). Analysis and design of an optimal learning control scheme for industrial robots: A discrete system approach. Proceedings of the 24th IEEE conference on decision and control (pp. 1399-1404).
17. Xu J.-X. Direct learning of control efforts for trajectories with different magnitude scales. Automatica. 33(12):1997;1291-1295.
18. Xu J.-X. Direct learning of control efforts for trajectories with different time scales. IEEE Transactions on Automatic Control. 43(7):1998;1027-1030.
19. Xu J.-X., Qu Z.H. Robust iterative learning control for a class of non-linear systems. Automatica. 33(8):1998;983-988.