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
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