Please use this identifier to cite or link to this item:
DC FieldValue
dc.titleOn the convergence speed of a class of higher-order ILC schemes
dc.contributor.authorXu, J.
dc.contributor.authorTan, Y.
dc.identifier.citationXu, J.,Tan, Y. (2001). On the convergence speed of a class of higher-order ILC schemes. Proceedings of the IEEE Conference on Decision and Control 5 : 4932-4937. ScholarBank@NUS Repository.
dc.description.abstractIn Iterative Learning Control (ILC) design, a direct objective is to achieve time-optimal learning in the presence of the system uncertainties. Higher-order ILC (HO-ILC) schemes have been proposed targeting at improving the convergence speed in the iteration domain. A m-th order ILC essentially uses system control information generated from past m iterations. A question is: can the convergence speed be improved in general by a HO-ILC? In this paper we show that, as far as the linear HO-ILC is concerned, the lower order ILC always outperform the higher-order ILC in the sense of time weighted norm. In order to facilitate a rigorous analysis of HO-ILC convergence speed and lay a fair basis for comparisons among ILC with different orders, the problem is formulated into a robust optimization problem in a min-max form.
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleProceedings of the IEEE Conference on Decision and Control
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.