DocumentCode :
3294534
Title :
Using 2D systems theory to design iterative learning control laws with multiple reference signals
Author :
Bochniak, Jacek ; Galkowski, Krzysztof ; Rogers, Eric
Author_Institution :
Inst. of Control & Comput. Eng., Univ. of Zielona Gora, Zielona Gora, Poland
fYear :
2009
fDate :
15-18 Dec. 2009
Firstpage :
4876
Lastpage :
4881
Abstract :
In this paper a 2D systems setting is used to develop new results on iterative learning control for linear plants in the case when there are multiple reference signals. The algorithms for control law design are developed using a strong form of stability for discrete linear repetitive processes known as stability along the pass. The resulting design computations are in terms of linear matrix inequalities (LMIs).
Keywords :
adaptive control; control system synthesis; discrete time systems; iterative methods; learning systems; linear matrix inequalities; linear systems; stability; system theory; 2D systems theory; discrete linear repetitive processes; iterative learning control law design; linear matrix inequalities; linear plants; multiple reference signals; Algorithm design and analysis; Control systems; Convergence; Iterative algorithms; Linear matrix inequalities; Robots; Signal design; Stability; Symmetric matrices; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2009.5399605
Filename :
5399605
Link To Document :
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