Please use this identifier to cite or link to this item: https://doi.org/10.1080/00207179.2011.574236
Title: A survey on iterative learning control for nonlinear systems
Authors: Xu, J.-X. 
Keywords: global Lipschitz
Iterative learning control
local Lipschitz
nonlinear systems
survey
Issue Date: Jul-2011
Citation: Xu, J.-X. (2011-07). A survey on iterative learning control for nonlinear systems. International Journal of Control 84 (7) : 1275-1294. ScholarBank@NUS Repository. https://doi.org/10.1080/00207179.2011.574236
Abstract: In this article we review the recent advances in iterative learning control (ILC) for nonlinear dynamic systems. In the research field of ILC, two categories of system nonlinearities are considered, namely, the global Lipschitz continuous (GLC) functions and local Lipschitz continuous (LLC) functions. ILC for GLC systems is widely studied and analysed using contraction mapping approach, and the focus of recent exploration moves to application problems, though a number of theoretical issues remain open. ILC for LLC systems is currently a hot area and the recent research focuses on ILC design and analysis by means of Lyapunov approach. The objectives of this article are to introduce recent development and advances in nonlinear ILC schemes, highlight their effectiveness and limitations, as well as discuss the directions for further exploration of nonlinear ILC. © 2011 Taylor & Francis.
Source Title: International Journal of Control
URI: http://scholarbank.nus.edu.sg/handle/10635/69098
ISSN: 00207179
DOI: 10.1080/00207179.2011.574236
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

159
checked on Jul 14, 2018

WEB OF SCIENCETM
Citations

137
checked on Jun 18, 2018

Page view(s)

72
checked on Jun 29, 2018

Google ScholarTM

Check

Altmetric


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