A Survey of Iterative Learning Control: A Learning-Based Method for High-Performance Tracking Control
Abstract
This article surveyed the major results in iterative learning control (ILC) analysis and design over the past two decades. Problems in stability, performance, learning transient behavior, and robustness were discussed along with four design techniques that have emerged as among the most popular. The content of this survey was selected to provide the reader with a broad perspective of the important ideas, potential, and limitations of ILC. Indeed, the maturing field of ILC includes many results and learning algorithms beyond the scope of this survey. Though beginning its third decade of active research, the field of ILC shows no sign of slowing down.
Recommended Citation
D. A. Bristow et al., "A Survey of Iterative Learning Control: A Learning-Based Method for High-Performance Tracking Control," IEEE Control Systems Magazine, Institute of Electrical and Electronics Engineers (IEEE), Jan 2006.
The definitive version is available at https://doi.org/10.1109/MCS.2006.1636313
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Adaptive Control; Control Systems Analysis; Control System Synthesis; Feedback; Feedforward; Iterative Methods; Learning Systems; Robust Control
International Standard Serial Number (ISSN)
0272-1708
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2006 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2006
