DocumentCode
3105685
Title
Using experience to get better convergence in iterative learning control
Author
Arif, Muhammad ; Ishihara, Tadashi ; Inooka, Hikaru
Author_Institution
Tohoku Univ., Sendai, Japan
fYear
1999
fDate
36373
Firstpage
1211
Lastpage
1214
Abstract
A method of incorporating experience in iterative learning controllers is proposed. It is proposed that if the previous experience of the controller can be used in the selection of the initial control input for a new desired trajectory tracking task, the convergence of the iterative learning controller can be improved without modifying the structure of the controllers. Therefore the method proposed in the paper is very general and is applicable to most of the iterative learning control algorithms
Keywords
convergence; learning systems; nonlinear control systems; time-varying systems; experience; initial control input; learning control; trajectory tracking task; Control systems; Convergence; Databases; Equations; Error correction; Force control; Iterative algorithms; Iterative methods; Time varying systems; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual, 1999. 38th Annual Conference Proceedings of the
Conference_Location
Morioka
Print_ISBN
4-907764-13-8
Type
conf
DOI
10.1109/SICE.1999.788726
Filename
788726
Link To Document