DocumentCode :
2860223
Title :
A Simplified approach to Iterative Learning Control based on strong practical stability of repetitive processes
Author :
Dabkowski, Pawel ; Galkowski, Krzysztof ; Rogers, Eric
Author_Institution :
Fac. of Phys., Astron. & Inf., Nicolaus Copernicus Univ., Torun, Poland
fYear :
2009
fDate :
June 29 2009-July 1 2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper develops significant new results on the design of Iterative Learning Control (ILC) schemes based on treating the problem within the framework of the stability/control theory for linear repetitive processes. In particular, so-called strong practical stability is used and it is shown that this can be used to effect in cases where the performance specifications are placed on both error convergence and transient performance.
Keywords :
adaptive control; iterative methods; learning systems; stability; control theory; error convergence; iterative learning control; linear repetitive processes; repetitive processes; stability theory; Algorithm design and analysis; Asymptotic stability; Control systems; Control theory; Convergence; Iterative methods; Linear systems; Manipulators; Robots; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multidimensional (nD) Systems, 2009. nDS 2009. International Workshop on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-2797-0
Electronic_ISBN :
978-1-4244-2798-7
Type :
conf
DOI :
10.1109/NDS.2009.5196178
Filename :
5196178
Link To Document :
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