article · 2004
On iterative learning control
Cited by 5Abstract and details only
Abstract
We describe a new type of iterative learning control (ILC) which seeks the desired input in an appropriate finite dimensional input subspace. The method achieves perfect tracking for a class of uncertain systems without using time derivative of tracking error signals in the learning law. Its effectiveness is demonstrated by experiments. In addition, an application of the ILC method to continuous-time model identification is shown.
Cite this paper
Sugie, T. (2004). On iterative learning control. https://doi.org/10.1109/icks.2004.24
Sugie, Toshiharu. “On iterative learning control.” 2004, pp. 214–20, https://doi.org/10.1109/icks.2004.24.
Sugie, Toshiharu. 2004. “On iterative learning control.” https://doi.org/10.1109/icks.2004.24.
Sugie, T. (2004) ‘On iterative learning control’. Available at: https://doi.org/10.1109/icks.2004.24.
@article{sugie2004iterative,
title = {{On iterative learning control}},
author = {Sugie, Toshiharu},
pages = {214--220},
year = {2004},
doi = {10.1109/icks.2004.24}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
Related papers
Sampled-data iterative learning control for a class of nonlinear systems
Mingxuan Sun, Danwei Wang · International Symposium on Intelligent Control · 1999
Cited by 2
Iterative learning control for uncertain nonlinear discrete-time systems using current iteration tracking error
Springer eBooks · 2007
Cited by 2
Iterative Learning Control: Convergence, Robustness and Applications
YangQuan Chen, Changyun Wen · 1999
Cited by 209
Knowledge Learning in Discrete-Time Control Systems
J XU, T HENGLEE, YangQuan Chen · Elsevier eBooks · 2000
Cited by 1
On three discrete-time adaptive ILCs for different nonlinear uncertain systems
Chi Ronghu, Zhang Dexia, Zhongsheng Hou et al. · Chinese Control and Decision Conference (CCDC) · 2013
Cited by 2
Adaptive iterative learning control for uncertain delay systems based on model matching technique
Haixia Su, Yingmin Jia, Junping Du et al. · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 2011
Cited by 0
A continuous-time closed-loop identification method based on iterative learning control concepts
Fumitoshi Sakai, Toshiharu Sugie · IEEE Conference on Decision and Control (CDC) · 2007
Cited by 15
An identification method for MIMO continuous‐time systems via iterative learning control concepts
Fumitoshi Sakai, Toshiharu Sugie · Asian Journal of Control · 2011
Cited by 8