DocumentCode :
2648573
Title :
A frequency domain condition for boundedness of learning control using a forgetting factor
Author :
Fujisaki, Yasumasa ; Kato, Fuminori
Author_Institution :
Department of Computer and Systems Engineering, Kobe University, Nada, 657-8501, Japan
fYear :
2006
fDate :
4-6 Oct. 2006
Firstpage :
2826
Lastpage :
2829
Abstract :
If there exist errors of initial setting, measurement noises, or system fluctuations, it is common to introduce a forgetting factor into iterative learning control for the case of not using the derivative of the tracking error. This paper deals with the learning control with the forgetting factor for general linear systems and presents a rigorous frequency domain condition under which the tracking error is bounded. An explicit bound of the tracking error is also provided, which suggests a suitable selection of the forgetting factor.
Keywords :
Control systems; Convergence; Error correction; Fluctuations; Frequency domain analysis; Linear systems; Low-frequency noise; Noise measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich, Germany
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
Type :
conf
DOI :
10.1109/CACSD-CCA-ISIC.2006.4777086
Filename :
4777086
Link To Document :
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