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Article
Universal iterative learning control using adaptive high-gain feedback
Article first published online: 21 MAR 2007
DOI: 10.1002/acs.4480070507
Copyright © 1993 John Wiley & Sons, Ltd.
Issue
1099-1115/asset/cover.gif?v=1&s=015a2949e63097a11ac3d83a29a96f0638085be5 "International Journal of Adaptive Control and Signal Processing")
International Journal of Adaptive Control and Signal Processing
Volume 7, Issue 5, pages 383–388, September 1993
Additional Information
How to Cite
Owens, D. H. (1993), Universal iterative learning control using adaptive high-gain feedback. Int. J. Adapt. Control Signal Process., 7: 383–388. doi: 10.1002/acs.4480070507
Publication History
- Issue published online: 21 MAR 2007
- Article first published online: 21 MAR 2007
Funded by
- University of Exeter Research Fund
- Abstract
- References
- Cited By
Keywords:
- Learning control;
- Iterative learning control;
- High-gain adaptive stabilization
Abstract
Convergence theorems for adaptive (universal) iterative learning control systems provide a well-defined convergence criterion parametrized by a single adaptive gain parameter. The convergence is in the weak topology of L
(0,T) with T finite and applies to both finite-dimensional systems and a class of infinite-dimensional systems.