Please use this identifier to cite or link to this item:
|Title:||Analysis of a High-Order Iterative Learning Control Algorithm for Uncertain Nonlinear Systems with State Delays||Authors:||Chen, Y.
Iterative learning control
|Issue Date:||1-Mar-1998||Citation:||Chen, Y.,Gong, Z.,Wen, C. (1998-03-01). Analysis of a High-Order Iterative Learning Control Algorithm for Uncertain Nonlinear Systems with State Delays. Automatica 34 (3) : 345-353. ScholarBank@NUS Repository.||Abstract:||For a better learning transient along the iteration number direction, a PID-type iterative learning control algorithm is proposed for a class of delayed uncertain nonlinear systems which perform a given task repeatedly. The convergence conditions for the proposed high-order learning control have been established. The tracking error bound is proven to be a class-K function of the bounds of reinitialization errors, uncertainties and disturbances to the systems. It is also indicated that the time delays in the system states do not play a significant role in the ILC convergence property. The effectiveness of the high-order ILC algorithm is demonstrated by simulation examples. § 1998 Elsevier Science Ltd. All rights reserved.||Source Title:||Automatica||URI:||http://scholarbank.nus.edu.sg/handle/10635/61822||ISSN:||00051098|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 22, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.