DocumentCode :
2752307
Title :
New ILC algorithms with improved convergence for a class of non-affine functions
Author :
Xu, Jian-Xin ; Ji, Qian
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume :
1
fYear :
1998
fDate :
1998
Firstpage :
660
Abstract :
In this paper we identify the similarities between iterative learning control (ILC) and root computing schemes for nonaffine static mapping functions. Applying the systematic approaches of numerical analysis, we developed several ILC algorithms and identify the convergence rate for each of them. Simulation results are given to certify these theorems
Keywords :
convergence; iterative methods; learning systems; ILC; convergence rate; iterative learning control; nonaffine static mapping functions; numerical analysis; root computing schemes; Computational modeling; Control systems; Convergence of numerical methods; Iterative algorithms; Iterative methods; Nonlinear equations; Numerical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
ISSN :
0191-2216
Print_ISBN :
0-7803-4394-8
Type :
conf
DOI :
10.1109/CDC.1998.760759
Filename :
760759
Link To Document :
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