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 :
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