Incorporation of experience in iterative learning controllers using locally weighted learning

Automatica

Volumn 37, Issue 6, 2001, Pages 881-888

  Arif, M ^a   Ishihara, T ^b   Inooka, H ^b  

^a PAKISTAN INSTITUTE OF ENGINEERING AND APPLIED SCIENCES   (Pakistan)

^b TOHOKU UNIVERSITY   (Japan)

Author keywords

Iterative learning control; Locally weighted learning; Trajectory tracking

Indexed keywords

CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; ITERATIVE METHODS; LEARNING ALGORITHMS; LEARNING SYSTEMS;

ITERATIVE LEARNING CONTROLLERS; LOCALLY WEIGHTED LEARNING;

INTELLIGENT CONTROL;

EID: 0035370795     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(01)00030-9     Document Type: Article

References (17)

1. Altman N.S. An introduction to kernel and nearest neighbor nonparametric regression. The American Statistician. 46(3):1992;175-185.
2. Arimoto S., Kawamura S., Miyazaki F. Bettering operation of robots by learning. Journal of Robotic Systems. 1(2):1984;123-140.
3. Arimoto, S., Kawamura, S., & Miyazaki, F. (1984b). Bettering operation of dynamic systems by learning: A new control theory for servomechanism or mechatronic systems. Proceedings of the 23rd IEEE conference on decision and control, USA (pp. 1064-1069).
4. Atkeson C.G., Moore A.W., Schaal S. Locally weighted learning. Artificial Intelligence Review. 11(1):1997;11-73.
5. Atkeson C.G., Moore A.W., Schaal S. Locally weighted learning for control. Artificial Intelligence Review. 11(1):1997;75-113.
6. Bien Z., Hwang D.H., Oh S.R. A nonlinear iterative learning method for robot path control. Robotica. 9:1991;387-392.
7. Chien, C. (1996). A Discrete iterative learning control of nonlinear time-varying systems. Proceedings of the 35th conference on decision and control, Japan (pp. 3056-3061).
8. Cleveland W.S., Devlin S.J. Locally weighted regression: An approach to regression analysis by local fitting. Journal of the American Statistical Association. 83:1988;596-610.
9. Kawamura, S., & Fukao, N. (1995). A time-scale interpolation for input torque patterns obtained through learning control on constrained robot motions. IEEE international conference on robotics and automation (pp. 2156-2161).
10. Kawamura, S., Miyazaki, F., & Arimoto, S. (1987). Intelligent control of robot motion based on learning method. Proceedings of the IEEE international symposium, TH0178.
11. Oh S.R., Bien Z., Suh I.H. An iterative learning control method with application for the robot manipulator. IEEE Journal of Robotics and Automation. 4(5):1988;508-514.
12. Phan M.Q., Juang J.N. Designs of learning controllers based on autoregressive representation of a linear system. Journal of Guidance, Control and Dynamics. 19(2):1996;355-362.
13. Saab S.S. On the P-type learning control. IEEE Transactions of Automatic Control. 39(11):1994;2298-2302.
14. Seidl, T., & Kriegel, H. (1998). Optimal multi-step k-nearest neighbor search. Proceedings of ACM SIGMOD international conference on management of data, USA.
15. Wand M.P., Schucancy W.R. Guassian-based kernels for curve estimation and window width selection. Canadian Journal of Statistics. 18:1990;249-260.
16. Xu J.X. Direct learning of control efforts for trajectories with different magnitude scales. Automatica. 33(12):1997;2191-2195.
17. Xu J.X. Direct learning of control efforts for trajectories with different time scales. IEEE Transactions of Automatic Control. 43(7):1998;1027-1030.