DocumentCode :
2198060
Title :
On the convergence speed of a class of higher-order ILC schemes
Author :
Xu, Jian-Xin ; Tan, Ying
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume :
5
fYear :
2001
fDate :
2001
Firstpage :
4932
Abstract :
In iterative learning control (ILC) design, a direct objective is to achieve time-optimal learning in the presence of the system uncertainties. Higher-order ILC (HO-ILC) schemes have been proposed targeting at improving the convergence speed in the iteration domain. A m-th order ILC essentially uses system control information generated from past m iterations. A question is: can the convergence speed be improved in general by a HO-ILC? We show that, as far as the linear HO-ILC is concerned, the lower order ILC always outperform the higher-order ILC in the sense of time weighted norm. In order to facilitate a rigorous analysis of HO-ILC convergence speed and lay a fair basis for comparisons among ILC with different orders, the problem is formulated into a robust optimization problem in a min-max form
Keywords :
convergence; iterative methods; learning systems; optimisation; time optimal control; convergence speed; higher-order iterative learning control schemes; iteration domain; min-max form; robust optimization problem; system uncertainties; time-optimal learning; Control systems; Convergence; Design optimization; H infinity control; Performance analysis; Q factor; Robust control; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
Type :
conf
DOI :
10.1109/.2001.980990
Filename :
980990
Link To Document :
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