DocumentCode
2841223
Title
Robust Gradient-based Iterative Learning Control
Author
Owens, D.H. ; Hätönen, J. ; Daley, S.
Author_Institution
Univ. of Sheffield, Sheffield
fYear
2007
fDate
15-17 April 2007
Firstpage
163
Lastpage
168
Abstract
This paper considers the robustness of a gradient-based iterative learning control (ILC) algorithm to ensure monotonic convergence with respect to the mean square value of the error time series. The paper provides necessary and sufficient conditions for robust monotonic convergence and sufficient frequency domain conditions for robust monotonic convergence on finite time intervals.
Keywords
adaptive control; frequency-domain analysis; gradient methods; learning systems; mean square error methods; robust control; time series; error time series; finite time intervals; frequency domain condition; gradient-based control; iterative control; learning control; mean square value; robust control; robust monotonic convergence; Algorithm design and analysis; Control systems; Convergence; Error correction; Frequency; Robust control; Robustness; Systems engineering and theory; Transfer functions; Uncertainty; Iterative learning control; parameter optimization; positive-real systems; robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2007 IEEE International Conference on
Conference_Location
London
Print_ISBN
1-4244-1076-2
Electronic_ISBN
1-4244-1076-2
Type
conf
DOI
10.1109/ICNSC.2007.372770
Filename
4238983
Link To Document