DocumentCode
3342606
Title
Robust gradient-based Iterative Learning Control
Author
Owens, D.H. ; Hätönen, J. ; Daley, S.
Author_Institution
Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield
fYear
2007
fDate
27-29 June 2007
Firstpage
143
Lastpage
148
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; convergence of numerical methods; gradient methods; iterative methods; learning systems; linear matrix inequalities; mean square error methods; robust control; time series; error time series; iterative learning control; matrix inequalities; mean square value; monotonic convergence; robust gradient-based ILC algorithm; Algorithm design and analysis; Automatic control; Control systems; Convergence; Error correction; Frequency; Iterative algorithms; Robust control; Robustness; Uncertainty; Iterative learning control; parameter optimization; positive-real systems; robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
Multidimensional (nD) Systems, 2007 International Workshop on
Conference_Location
Aveiro
Print_ISBN
978-1-4244-1111-5
Electronic_ISBN
978-1-4244-1112-2
Type
conf
DOI
10.1109/NDS.2007.4509565
Filename
4509565
Link To Document