DocumentCode :
2817345
Title :
Noncausal finite-time robust iterative learning control
Author :
van de Wijdeven, J. ; Bosgra, Okko
Author_Institution :
Eindhoven Univ. of Technol., Eindhoven
fYear :
2007
fDate :
12-14 Dec. 2007
Firstpage :
258
Lastpage :
263
Abstract :
In this paper, we present a new finite-time robust Iterative Learning Control (ILC) strategy which can guarantee robust stability of the ILC controlled system in presence of model uncertainty as quantified by an additive or multiplicative uncertainty model. The presented finite-time robust ILC controller distinguishes itself from other robust ILC controllers by 1) exploiting non-causality in its control structure and 2) taking into account the finite time span of a single trial. The different steps in the control design and analysis are extensively discussed and illustrated by means of an example.
Keywords :
iterative methods; learning (artificial intelligence); robust control; uncertain systems; additive uncertainty model; multiplicative uncertainty model; noncausal finite-time robust iterative learning control; robust stability; Control design; Control system synthesis; Error correction; Frequency domain analysis; Low pass filters; Mechanical engineering; Robust control; Robust stability; USA Councils; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2007.4434189
Filename :
4434189
Link To Document :
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