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
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;
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2009.5159965