Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/83233
Title: Two types of second-order internal model based iterative learning controller design for a class of non-repetitive systems
Authors: Yin, C.
Xu, J.-X. 
Hou, Z.
Keywords: Internal model
Iterative learning control (ILC)
Non-repetitiveness
Issue Date: Oct-2010
Citation: Yin, C.,Xu, J.-X.,Hou, Z. (2010-10). Two types of second-order internal model based iterative learning controller design for a class of non-repetitive systems. Beijing Jiaotong Daxue Xuebao/Journal of Beijing Jiaotong University 34 (5) : 105-110+116. ScholarBank@NUS Repository.
Abstract: The paper is devoted to study non-repetitiveness for a class of nonlinear continuous-time systems by building second-order internal model in iteration domain for system's uncertainty parameters. According to internal model principle, two types of second-order internal model-based parametric iterative learning controllers are proposed, which are second-order iterative learning controller and parallel iterative learning controller. Utilizing different Lyapunov functions, the paper proves that tracking error convergence can be guaranteed by each designed controller within its own feasible domain. By comparison of their learning mechanisms, the design rationality of parallel iterative learning controller is clarified. Two numerical examples not only verify the effectiveness of both algorithms, but also show better convergent performance using parallel iterative learning controller.
Source Title: Beijing Jiaotong Daxue Xuebao/Journal of Beijing Jiaotong University
URI: http://scholarbank.nus.edu.sg/handle/10635/83233
ISSN: 16730291
Appears in Collections:Staff Publications

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

Page view(s)

31
checked on Aug 17, 2018

Google ScholarTM

Check


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