DocumentCode :
2461309
Title :
Objective-driven ilc for point-to-point movement tasks
Author :
Freeman, Chris T. ; Cai, Zhonglun ; Lewin, Paul L. ; Rogers, Eric
Author_Institution :
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
fYear :
2009
fDate :
10-12 June 2009
Firstpage :
252
Lastpage :
257
Abstract :
A framework is developed which allows a general class of ILC algorithm to be applied to tasks which require the plant output to reach a given point in a set time. It is shown that superior convergence and robustness properties are obtained compared with those associated with using the original ILC law to track an arbitrary reference trajectory satisfying the end-point conditions. Experimental results are given to confirm the theoretical findings, and verify the favourable qualities of this novel approach to point-to-point movement control.
Keywords :
convergence; iterative methods; learning systems; robust control; ILC algorithm; convergence; iterative learning control; point-to-point movement task; robustness; Control systems; Convergence; Electrical stimulation; Iterative algorithms; Rehabilitation robotics; Robustness; Service robots; Tracking; Trajectory; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
ISSN :
0743-1619
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2009.5159965
Filename :
5159965
Link To Document :
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