Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/71207
Title: On initial conditions in iterative learning control
Authors: Xu, J.-X. 
Yan, R.
Chen, Y.
Issue Date: 2006
Source: Xu, J.-X.,Yan, R.,Chen, Y. (2006). On initial conditions in iterative learning control. Proceedings of the American Control Conference 2006 : 220-225. ScholarBank@NUS Repository.
Abstract: Initial conditions, or initial resetting conditions, play a fundamental role in all kinds of iterative learning control methods. In this work we study five different initial conditions, disclose the inherent relationship between each initial condition and corresponding learning convergence (or boundedness) property. The iterative learning control method under consideration is based on Lyapunov theory, which is suitable for plants with time varying parametric uncertainties and local Lipschitz nonlinearities. © 2006 IEEE.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/71207
ISBN: 1424402107
ISSN: 07431619
Appears in Collections:Staff Publications

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

Page view(s)

24
checked on Jan 19, 2018

Google ScholarTM

Check


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