DocumentCode
2392896
Title
Experimental comparison of stochastic iterative learning control algorithms
Author
Cai, Zhonglun ; Freeman, Chris T. ; Lewin, Paul L. ; Rogers, Eric
Author_Institution
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton
fYear
2008
fDate
11-13 June 2008
Firstpage
4548
Lastpage
4553
Abstract
A number of iterative learning control algorithms have been developed in a stochastic setting in recent years. The results currently available are in the form of algorithm derivation and the establishment of various fundamental systems theoretic properties. As the crucial, in terms of eventual use in applications, next stage this paper compares their performance when implemented on a gantry robot system.
Keywords
iterative methods; learning systems; robots; stochastic systems; algorithm derivation; gantry robot system; stochastic iterative learning control algorithms; stochastic setting; Control systems; DC motors; Electrical equipment industry; Error correction; Food manufacturing; Iterative algorithms; Manufacturing processes; Service robots; Stochastic processes; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4587212
Filename
4587212
Link To Document