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
fDate :
June 29 2009-July 1 2009
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;
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
DOI :
10.1109/NDS.2009.5196178